2026-05-17T07:29:16Z https://rodare.hzdr.de/oai2d

oai:rodare.hzdr.de:2745 2024-08-12T08:06:43Z user-hzdr user-matter user-rodare user-oncoray

Schilz, Joshua Dietrich Bodenstein, Elisabeth Brack, Florian-Emanuel Horst, Felix Irman, Arie Kroll, Florian Pawelke, Jörg Prencipe, Irene Rehwald, Martin Reimold, Marvin Schöbel, Susanne Schramm, Ulrich Zeil, Karl Metzkes-Ng, Josefine 2024-02-28 All necessary Data to recreate the published plots and images in the publication: "Absolute energy-dependent scintillating screen calibration for real-time detection of laser-accelerated proton bunches". Included are the raw scintillating screen images, the plotting data and Python Scripts used for calculations and plotting. https://rodare.hzdr.de/record/2745 10.14278/rodare.2745 oai:rodare.hzdr.de:2745 eng url:https://www.hzdr.de/publications/Publ-38808 url:https://www.hzdr.de/publications/Publ-38800 doi:10.14278/rodare.2744 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/1.0/legalcode laser-driven protons scintillating screens absolute proton number calibration real-time spatially resolved detector calibration Data publication: Absolute energy-dependent scintillating screen calibration for real-time detection of laser-accelerated proton bunches info:eu-repo/semantics/other other

oai:rodare.hzdr.de:3196 2024-11-11T08:29:57Z openaire_data user-oncoray user-rodare

Berthold, Jonathan Hueso-González, Fernando Wohlfahrt, Patrick Bortfeld, Thomas Khamfongkhruea, Chirasak Tattenberg, Sebastian Zarifi, Melek Verburg, Joost Richter, Christian 2024-10-15 This publication contains all datasets of the anthropomorphic head phantom and corresponding treatment plans that are needed to conduct the presented benchmark experiments (related publication) with proton range verification systems. For comparison, the repository also contains the evaluated results of the prompt-gamma-spectroscopy (PGS) and prompt-gamma-imaging (PGI) systems. https://rodare.hzdr.de/record/3196 10.14278/rodare.3196 oai:rodare.hzdr.de:3196 eng url:https://www.hzdr.de/publications/Publ-39755 url:https://www.hzdr.de/publications/Publ-39032 doi:10.14278/rodare.3195 url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess proton therapy prompt gamma-ray range verification treatment verification Data publication: Inter-center comparison of proton range verification prototypes with an anthropomorphic head phantom info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4444 2026-02-23T08:29:00Z openaire_data user-novo user-rodare user-health user-oncoray user-hzdr

Müller, Sara Tabea Akgun, Bora Bekkevoll, Anna Blorstad Thu, Sander Engebertsen, Anders Jagt, Thyrza Pausch, Guntram Phan, Than Binh Ratliff, Hunter Römer, Katja Smeland Ytre-Hauge, Kristian Stokkevag, Camilla Tarakoglu, Engin Turko, Joseph Wolf, Andreas Yazici, Berkay Meric, Ilker Kögler, Toni 2026-01-22 This data set contains the experimental raw data of the NOVO compact detector array (NOVCoDA) from the measurement campaign at OncoRay Dresden, Germany in December 2025. This experiment is the first test of the NOVCoDA prototype at a clinical proton beam. The aim of the measurement campaign was to characterize the response behavior of the scintillators used under high-energy neutron irradiation (especially the pulse-shape discrimination behavior), as well as to test the imaging, range-shift, and rate-processing capabilities of the system. Setup: Measurements 01.12.-09.12.: miniNOVO (version 5): The prototype consists of 12 organic scintillator elements (6 × M600 and 6 × organic glas scintillator) of the dimensions 12×12×140 mm3 Measurements 10.12.-12.12.: miniNOVO (version 5.1): The prototype consists of 14 organic scintillator elements (7 × M600 and 7 × organic glas scintillator) of the dimensions 12×12×140 mm3 The scintillator bars have dual readout composed of 2 × Hamamatsu R7378A (1’’) PMTs1, 4 × Hamamatsu S14161-3050HS-04 SiPM1 + U3012 (+ custom front-end electronics) (only 2 × for miniNOVO version 5) and 8 × Hamamatsu R2059-01 (2’’) PMTs1. The data was recorded with 2 CAEN V1730S3 14-bit, 16-channel digitizers (named dta and dtb) with a sampling frequency of 425.216 MS/s. The detector array was placed at 90° w.r.t. to the fixed-beam research beam line of the Dresden proton therapy facility at OncoRay, Dresden. A cylindrical PMMA (solid/with air gap/with bone insert) was placed centrally in front of the detector head and irradiated with proton energies from 75-225 MeV and varying currents between 10-2000 pA at various positions (± 180 mm w.r.t. central position). In addition measurements with the online-adaptive RAPTOR phantom in different configurations (air insert/bone insert/swelling/no swelling) were executed. Data structure: The directory DOI_calibration contains the position calibration measurements with a Sr-90 source. Energy_calibration holds the energy calibration measurements with a Na-22 and Cs-137 source. In efficiency_measurement the measurements with a Na-22 source at phantom position (with and without PMMA phantom) can be found. PMMA_phantom is dedicated to all the beam measurements with the cylindrical phantom (with and without various inserts) while the directory online_adaptive_phantom provides the same for the measurements with the RAPTOR phantom. All measurements for which waveforms were recorded are stored in waveforms and backend_comparison is comprised of repeat measurements with the cylindrical PMMA phantom where one detector (dtb, ch2 and ch3) was connected to an alternative back-end system for comparison. All other measurements and test runs are in the tests folder. The PDF-files 2025-12_ NOVO-first-proton-facility-tests-PGTV-Wiki.pdf and 2025-12_ NOVO-first-proton-facility-tests-Week-2-PGTV-Wiki.pdf hold information about the setup of the experiment and and more details about the individual measurements (elog). The file 2025-12_ NOVO-first-proton-facility-tests-Run-List-PGTV-Wiki.pdf contains the run list with all parameters for each measurement. In 2025-12_OncoRay_HEBC_Monitor_Data.zip csv-files with the beam control meta data can be found (one file for each measurement day). The main configuration file for the digitizers is called template_main.cfg. Data Format: All data is saved in root files which each contain two root trees, one for each digitizer, named “dta” and “dtb”. The trees hold the following information in the form of listmode data for each event: digitizer channel ("channel"), charge integrated over long gate ("Elong"), charge integrated over short gate ("Eshort"), digitizer flags ("flags") and the timestamp (separated in three parts: "timestamp", "timestampExtended", "time"). Additionally, the root files also contain an TArrayD which denotes the start time of the measurement in UNIX time at its first index and the stop time at its second. There are two configuration files for each data file (named “filename_dtx.config”), one for each digitizer card. These text files contain the information about the digitizer settings for each run. [1] Hamamatsu Photonics Deutschland GmbH, Arzbergerstr. 10, 82211 Herrsching am Ammersee, Germany. [2] Target Systemelektronik, Heinz-Fangman-Straße 4, 42287 Wuppertal, Germany. [3] CAEN S.p.A., Via Vetraia 11, 55049 Viareggio (LU), Italy. The NOVO project has received funding from the European Innovation Council (EIC) under grant agreement No. 101130979. The EIC receives support from the European Union's Horizon Europe research and innovation programme. Partners from The University of Manchester have received funding from UK Research and Innovation under grant agreement No. 10102118 https://rodare.hzdr.de/record/4444 10.14278/rodare.4444 oai:rodare.hzdr.de:4444 eng url:https://www.hzdr.de/publications/Publ-43021 doi:10.14278/rodare.4443 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/novo url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess NOVO Neutron imaging Prompt gamma ray imaging Dual particle imaging Range verification in proton therapy OncoRay First tests of the NOVO Compact Detector Array at a Proton Facility (OncoRay) info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4185 2025-12-19T13:30:26Z openaire_data user-health user-rodare user-oncoray

Kieslich, Aaron Markus Singh, Yerik Palkowitsch, Martina Starke, Sebastian Hennings, Fabian Troost, Esther Gera Cornelia Krause, Mechthild Bensberg, Jona Lühr, Armin Heinzelmann, Feline Bäumer, Christian Timmermann, Beate Depauw, Nicolas Shih, Helen A. Löck, Steffen 2025-12-16 This repository contains the outputs, model checkpoints and result data of our deep-learning-based experiments for the approximation of Monte-Carlo-simulated linear energy transfer distributions and uncertainty estimation, which build the foundation for the corresponding article. https://rodare.hzdr.de/record/4185 10.14278/rodare.4185 oai:rodare.hzdr.de:4185 url:https://www.hzdr.de/publications/Publ-42451 url:https://www.hzdr.de/publications/Publ-42419 doi:10.14278/rodare.4184 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode proton radiotherapy linear energy transfer deep learning pencil beam scanning double scattering uncertainty quantification Data publication: Deep learning for dose-averaged linear energy transfer estimation in pencil-beam scanning and double scattering proton plans with uncertainty-aware external validation info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2807 2025-10-02T06:04:31Z openaire_data user-hzdr user-fwk user-health user-rodare user-elbe user-γelbe user-oncoray

García Rivas, Iris Fernández Prieto, Antonio Kögler, Toni Römer, Katja Hueso González, Fernando 2024-04-16 This repository contains raw experimental data acquired during the gELBE beam time performed in October 2023 under proposal number 23203137-ST, at Helmholtz-Zentrum Dresden - Rossendorf. In this setup, a bremsstrahlung beam of up to 12.5 MeV energy in 13 MHz pulses irradiates a CeBr3 scintillation detector (by Hilger®) of Ø 1'' x 1'', coupled to a Hamamatsu® R13408-100 PMT, custom voltage divider and shaping electronics, and a commercial digitizer (SFMC01+SIS1160) by Struck®, containing an AD9689 chip that supports a data sampling rate of 2.5 Gsps and 14-bits. This detector is developed in the context of the coaxial prompt gamma-ray monitoring method [1], where very high count rates are expected [2]. The dead-time-free data acquisition is programmed in-house using ROOT [3]. In addition, a plastic scintillation detector (paddle) was placed inbetween the beam and the CeBr3 crystal to serve as reference beam monitor. An Arduino is used to monitor the high-voltage supply for the PMT and active divider electronics in terms of current, voltage and temperature. A Comet Systems® T7310 is used to monitor ambient temperature, humidity and pressure. The published data consist of the raw signal waveforms acquired during ~450 measurements. Each measurement is stored in a separate folder, its name being the acquisition time start, and lasts between 3 and 20 seconds (16 GiB up to 100 GiB). The data format is little-endian binary. Each sample uses two bytes, being the 14 first bits the digitized signal in a 1.7 Vpp range, and the 15th bit the (negated) logic status of the reference beam monitor (paddle). Samples are stored consecutively, without headers. Sample time separation is 0.4 ns (2.5 Gsps). The digitizer is phase-locked to the accelerator radiofrequency (RF), so that each 2500 stored samples correspond to 13 consecutive periods of 13 MHz. The data can be directly opened using the open-source pulse visualization software (PulseSurfer) available in this link: https://igit.ific.uv.es/ferhue/pulse-surfer/, with ROOT as a dependency. One just needs to run: root -l test_gui.cpp+(\"/path-to-folder/chA.bin\") and then set 192.307692307692307696 in the "Cycle" box. Use the slider in the bottom to navigate across different consecutive frames. To visualize the paddle counter (negated) logic status, change the "Mask" box from 3FFF to 4000. There is also a checkbox to activate the baseline subtraction. In addition to the raw waveform data (chA.bin), each folder contains following metadata: log.root a ROOT file storing all the measurement and hardware settings as TObjString. It also contains the T7310 monitoring as a TTree ("pth") chA.root a ROOT file storing a TTree that benchmarks the readout speed of the DAQ for this channel zdt.log a text file storing the output printed by the DAQ software to terminal gui.png Screenshot of the DAQ window hv.txt a test file storing the monitoring of the high-voltage supply and electronics This activity has received funding from the European Union's 2020 research and innovation programme under grant agreement No 101008126, corresponding to the RADNEXT project. Also we received funding from the Conselleria de Educación, Investigación, Cultura y Deporte (Generalitat Valenciana) under grant number CDEIGENT/2019/011 In addition we received funding from the: Industrial Doctorates Program of the Xunta de Galicia (Consellería de Cultura, Educación, Formación Profesional e Universidades), the CONSOLIDACIÓN 2022 GRC GI-1490 - Grupo de Física de Altas Enerxías - GAES -- ED431C 2022/30 and the Studying Leptopic Flavour Universality and nuclear structure with the enhanced LHCb experiment -- PID2019-110378GB-I00 and from the PTCOG Project Funding 2024 - Physics https://rodare.hzdr.de/record/2807 10.14278/rodare.2807 oai:rodare.hzdr.de:2807 eng doi:10.58065/24020 doi:10.17815/jlsrf-2-58 doi:10.1016/j.nima.2022.166701 doi:10.1016/j.nima.2018.09.062 doi:10.1016/j.sna.2023.114859 doi:10.1109/TRPMS.2019.2930362 doi:10.1088/1361-6560/ab176d doi:10.1109/JSEN.2021.3062428 url:https://www.hzdr.de/publications/Publ-39098 url:https://www.hzdr.de/publications/Publ-41810 doi:10.14278/rodare.2806 url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/fwk url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/γelbe info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Proton Therapy Range Verification High-count rate photon detection high speed digitizers pile-up deconvolution High-count rate photon detection with scintillators coupled to photomultiplier tubes and fast digitizers info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4575 2026-03-25T10:10:20Z software user-health user-oncoray user-rodare

Kieslich, Aaron Markus Makarevich, Krystsina Zwanenburg, Alex Kögler, Toni Löck, Steffen 2026-03-25 Satz von Skripten zur Verarbeitung von PGT Daten, sowie Ausführung einer Machine-learning Pipeline und Modellauswertung. https://rodare.hzdr.de/record/4575 10.14278/rodare.4575 oai:rodare.hzdr.de:4575 url:https://www.hzdr.de/publications/Publ-43176 doi:10.14278/rodare.4574 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode proton radiotherapy treatment verification prompt gamma-ray timing machine learning multivariate modelling Software publication: Range-shift prediction with prompt gamma timing in clinically realistic proton therapy fields info:eu-repo/semantics/other software

oai:rodare.hzdr.de:1811 2024-08-12T08:08:43Z openaire_data user-rodare user-health user-hzdr user-oncoray

Pausch, Guntram Schellhammer, Sonja Kögler, Toni Berthold, Jonathan Römer, Katja Rinscheid, Andreas Werner, Theresa Hueso-González, Fernando Kögler, Toni Petzoldt, Johannes Schellhammer, Sonja Pausch, Guntram 2023-05-10 This dataset comprises the data reported on by Werner et al. (2019) in Phys. Med. Biol. 64 105023, 20pp (https://doi.org/10.1088/1361-6560/ab176d). Please refer to this publication for details on the experimental setup, data acquisition and preprocessing. The process is summarised in the following. A static, pulsed pencil beam was delivered to a target without and with cylindrical air cavities of 5 to 20 mm thickness and prompt gamma-ray timing distributions were acquired. Experimental setup: A homogeneous cylindrical phantom comprised of poly(methylmethacrylate) was used. Air cavities of varying thickness ∆R ∈ {0 mm, 5 mm, 10 mm, 20 mm} were successively introduced into the phantom to mimic anatomical variations leading to range deviations. For each air cavity thickness, the phantom was irradiated with proton pencil beams of two different kinetic energies (E_1 = 162 MeV and E_2 = 227 MeV) and a micropulse repetition rate of 106.3 MHz. Prompt-gamma ray timing distributions were measured with a detection unit consisting of a single ∅2 ” × 2 ” CeBr_3 crystal by Scionix, a Hamamatsu R13089-100 photomultiplier and a U100 digital spectrometer by Target Systemelektronik, which was placed at a backward angle of 130° . A static pencil beam was directed centrally at the phantom. The beam was pulsed in spots with a spot duration of 69 ms, a period of 72 ms and 1e9 (!) protons per spot (corresponding approximately to the combined signal of 8 prompt-gamma ray detection units for one strongly weighted clinical pencil beam scanning spot). One measurement consisted of 100 spots. Overall, the experiment comprised eight measurements covering the set of four cavity thicknesses ∆R and two beam energies E_1 and E_2. Experiments were carried out in the patient treatment room of OncoRay, Dresden. Data preprocessing: The raw data of each measurement was preprocessed as follows: The binary data was converted to ROOT. The photomultiplier gain drift was corrected for and the integral signal charge was converted into deposited energy. Time digitalisation nonlinearities were corrected for. The calibrated data was then saved in list-mode format. The data was assigned to the spot number and the detection time relative to the accelerator radiofrequency (fine time) was used to populate a prompt gamma-ray timing histogram for each spot. No background or phase shift correction were applied. Data structure: The dataset contains one root file for each measurement, named by the detector number in the format u100-p00XX and the measurement time. The spreadsheet MeasurementIndex_20160716_SingleSpot.xlsx contains the details of each measurement. The corrected and calibrated PGT spectra can be found in the root file at analysis/05_PGT_for_Layers_and_Spots. Each root file contains the following directories: analysis 01_Layers_and_Spots_Detection: association between spot number and measurement time 02_Gain_Correction: energy gain drift correction curve 03_Energy_Calibration: energy calibration curve 04_Fine_Time_Linearization: timing non-linearity calibration curve 05_PGT_for_Layers_and_Spots: final PGT spectra - for each spot of each layer: PGT_*_all: timing spectrum of the whole energy range PGT_*_2,5to7MeV: timing spectrum for events between 2.5 and 7 MeV only PGT_*_3to5MeV: timing spectrum for events between 3 and 5 MeV only ESpec: energy spectrum EoT: two-dimensional energy-timing spectrum data: list-mode data (not histogrammed) uncorrected: before the correction and calibration steps corrected: after the correction and calibration steps meta: measurement meta data (log file containing applied detector HV etc.) histograms: selected example histograms For further questions, please refer to the contact persons stated in the Contributors section. https://rodare.hzdr.de/record/1811 10.14278/rodare.1811 oai:rodare.hzdr.de:1811 eng url:https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-769231 url:https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-840468 doi:10.1088/1361-6560/ab176d doi:10.3389/fphy.2022.932950 url:https://www.hzdr.de/publications/Publ-36784 doi:10.14278/rodare.1810 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess proton therapy treatment verification prompt gamma-ray timing experimental data Experimental prompt gamma-ray timing data for proton treatment verification in a clinical facility using a fixed beam info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2262 2024-08-12T08:02:00Z openaire_data user-ecfunded user-rodare user-health user-matter user-elbe user-draco-elbe user-oncoray

Reimold, Marvin Assenbaum, Stefan Beyreuther, Elke Bodenstein, Elisabeth Brack, Florian-Emanuel Eisenmann, Christoph Englbrecht, F. Kroll, Florian Lindner, F. Masood, U. Pawelke, Jörg Schramm, Ulrich Schneider, Moritz Sobiella, Manfred Umlandt, Marvin Elias Paul Vescovi Pinochet, Milenko Andrés Zeil, Karl Ziegler, Tim Metzkes-Ng, Josefine 2023-04-18 The data set comprises raw data, processed data and detector data for the OCTOPOD detector applied for characterization of proton bunches at a proton cyclotron and a laser-driven proton accelerator. https://rodare.hzdr.de/record/2262 10.14278/rodare.2262 oai:rodare.hzdr.de:2262 eng info:eu-repo/grantAgreement/EC/H2020/871124/ doi:10.17815/jlsrf-2-58 doi:10.1017/hpl.2023.55 url:https://www.hzdr.de/publications/Publ-36823 url:https://www.hzdr.de/publications/Publ-36751 doi:10.14278/rodare.2261 url:https://rodare.hzdr.de/communities/draco-elbe url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess laser-plasma acceleration of protons proton detector tomographic reconstruction Data publication for: OCTOPOD - single bunch tomography for angular-spectral characterization of laser-driven protons info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2438 2024-08-12T08:07:27Z openaire_data user-rodare user-oncoray

Starke, Sebastian Zwanenburg, Alex Leger, Karoline Lohaus, Fabian Linge, Annett Schreiber, Andreas Kalinauskaite, Goda Tinhofer, Inge Guberina, Nika Guberina, Maja Balermpas, Panagiotis von der Grün, Jens Ganswindt, Ute Belka, Claus Peeken, Jan C. Combs, Stephanie E. Böke, Simon Zips, Daniel Richter, Christian Troost, Esther Gera Cornelia Krause, Mechthild Baumann, Michael Löck, Steffen 2023-08-16 This dataset contains the model checkpoints, predictions and performance metrics for the multitask neural networks presented in the corresponding manuscript. https://rodare.hzdr.de/record/2438 10.14278/rodare.2438 oai:rodare.hzdr.de:2438 eng doi:10.3390/cancers15194897 url:https://www.hzdr.de/publications/Publ-37408 url:https://www.hzdr.de/publications/Publ-37388 url:https://www.hzdr.de/publications/Publ-39339 doi:10.14278/rodare.2437 url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess survival analysis vision transformer convolutional neural network multitask learning tumor segmentation head and neck cancer Cox proportional hazards loco-regional control progression-free survival discrete-time survival models Data publication: Multitask learning with convolutional neural networks and vision transformers can improve outcome prediction for head and neck cancer patients info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3828 2026-05-05T10:56:32Z openaire_data user-fwk user-health user-hzdr user-oncoray user-rodare

Turko, Joseph Lutz, Benjamin Meric, Ilker Müller, Sara Tabea Ratliff, Hunter Römer, Katja Ellen Urban, Konstantin Kögler, Toni 2025-06-24 This data set contains the experimental raw data from the measurement campaign at PTB in March 2024 funded by the European Innovation Council (EIC). Setup: The miniNOVO prototype (version 4) consists of 14 organic scintillator elements (7 × M600 and 7 × organic glas scintillator) of the dimensions \(12 × 12 × 140~\text{mm}³\). The scintillator bars have dual readout composed of 2 × Hamamatsu R7378A (1’’) PMTs1, 4 × Hamamatsu S14161-3050HS-04 SiPM1 + U3012 (+ custom front-end electronics) and 8 × Hamamatsu R2059-01 (2’’) PMTs1. The data was recorded with 2 CAEN V1730S3 14-bit, 16-channel digitizers (named dta and dtb) with a sampling frequency of 500 MS/s. A 1’’ CeBr3-detector was employed as a reference detector and positioned centrally behind the array. This detector was used for time calibration and time-of-flight measurements as start detector with a Pu-238 source. The detector array was irradiated head-on with mono-energetic neutron fields at the PIAF accelerator facility (Tandetron accelerator) of the energies \(E_n = \{ 1.2, 2.5, 6.5, 14.8, 17.0, 19.0\}~\text{MeV}\). The array position was shifted in two dimensions in 1 cm increments for the \(14.8~\text{MeV}\) measurements, in 5cm increments for \(17.0~\text{MeV}\) and at 1, 2 and 5 cm in both directions for the remaining energies. Data structure: The directory calibration contains six subdirectories dedicated to the time calibration with the reference detector, the position calibration with a Sr-90 source, the energy calibration with a Bi-207 and a Na-22 source, the gate optimisation and the gain matching. In the neutron_beam folder the measurements with the different neutron fields can be found, sorted into the corresponding subdirectory by energy. Waveform data recorded with a Pu-238 source is saved in the waveform_data folder and measurements with the reference detector can be found in the reference_detector directory. All other measurements and test runs are stored in the tests folder. influxDB holds the slow control data entries in a csv file and the main configuration files for the digitizers are saved in the DDAQconfig folder. In documentation a pdf-file of the elog providing more detailed information about the individual data files and a pdf-file with the detector setup are stored. Data Format: All data is saved in root files which each contain two root trees, one for each digitizer, named “dta” and “dtb”. The trees hold the following information in the form of listmode data for each event: digitizer channel ("channel"), charge integrated over long gate ("Elong"), charge integrated over short gate ("Eshort"), digitizer flags ("flags") and the timestamp (separated in three parts: "timestamp", "timestampExtended", "time"). Additionally, the root files also contain an TArrayD which denotes the start time of the measurement in UNIX time at its first index and the stop time at its second. There are two configuration files for each data file (named “filename_dtx.config”), one for each digitizer card. These text files contain the information about the digitizer settings for each run. [1] Hamamatsu Photonics Deutschland GmbH, Arzbergerstr. 10, 82211 Herrsching am Ammersee, Germany. [2] Target Systemelektronik, Heinz-Fangman-Straße 4, 42287 Wuppertal, Germany. [3] CAEN S.p.A., Via Vetraia 11, 55049 Viareggio (LU), Italy. The NOVO project has received funding from the European Innovation Council (EIC) under grant agreement No. 101130979. The EIC receives support from the European Union's Horizon Europe research and innovation programme. Partners from The University of Manchester has received funding from UK Research and Innovation under grant agreement No. 10102118 https://rodare.hzdr.de/record/3828 10.14278/rodare.3828 oai:rodare.hzdr.de:3828 eng url:https://www.hzdr.de/publications/Publ-41530 doi:10.14278/rodare.3827 url:https://rodare.hzdr.de/communities/fwk url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess NOVO Neutron imaging Dual particle imaging Monoenergetic neutron fields Range verification in proton therapy PTB Neutron imaging and light output calibration with the miniNOVO prototype at the Physikalisch-Technische Bundesanstalt (PTB) Braunschweig info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2446 2024-08-12T08:08:03Z openaire_data user-rodare user-elbe user-draco-elbe user-oncoray

Corvino, Aangela Reimold, Marvin Beyreuther, Elke Brack, Florian-Emanuel Kroll, Florian Pawelke, Jörg Schilz, Joshua Schramm, Ulrich Schneider, Moritz Umlandt, Marvin Elias Paul Zeil, Karl Ziegler, Tim Metzkes-Ng, Josefine 2023-08-17 The data set comprises raw data, processed data and detector data for the miniSCIDOM detector applied for characterization of proton bunches at a proton cyclotron and a laser-driven proton accelerator. https://rodare.hzdr.de/record/2446 10.14278/rodare.2446 oai:rodare.hzdr.de:2446 doi:10.17815/jlsrf-2-58 doi:10.1017/hpl.2024.1 url:https://www.hzdr.de/publications/Publ-36825 url:https://www.hzdr.de/publications/Publ-36770 doi:10.14278/rodare.2445 url:https://rodare.hzdr.de/communities/draco-elbe url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess laser-driven proton beams ultra-high dose rate beam monitoring detectors scintillator-based diagnostics Data publication: miniSCIDOM - a scintillator-based tomograph for volumetric dose reconstruction of single laser-driven proton bunches info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4437 2026-01-27T07:45:57Z openaire_data user-health user-hzdr user-oncoray user-rodare

Makarevich, Krystsina Kieslich, Aaron Markus Römer, Katja Schellhammer, Sonja Wagner, Andreas Kögler, Toni 2026-01-20 The dataset contains the data used for evaluating the performance of the Prompt Gamma-ray Timing (PGT) system under clinical-like conditions. Experimental setup: Clinically realistic dose plans were applied to an anthropomorphic head phantom at the pencil beam scanning (PBS) beamline. Two phantom positioning schemes were employed: noseφ setup: the geometric center of the head phantom was aligned with the beamline isocenter, and the phantom’s nose pointed in a given direction defined by an angle φ (in the bird’s-eye view) gantry-like Gθ setup: the phantom was placed according to a positioning template so that a hypothetical tumor, contoured on the phantom’s CT images, was aligned with a beamline isocenter, and the PBS nozzle position relative to the phantom corresponded then to a gantry rotational angle θ. The photographs of the experimental setup and the schematic of the target positioning are provided in Figure 1 of the 0_Materials_and_Methods.zip file. The positioning template for the Gθ setups is given in Figure 2 in 0_Materials_and_Methods.zip. Three types of irradiation fields were used for the study: EqualMU fields: square fields of about 8.4 cm × 8.4 cm, comprising 15×15 spots arranged on a regular grid with a lateral spacing of 6 mm. Spots within the same energy layer share an identical weight. DistalLayer fields: fields comprising 5+15×15+5 spots arranged on a regular grid with a lateral spacing of 6 mm. The main sequence of spots (15×15) forms a square field of about 8.4 cm × 8.4 cm and has varying spot weights. The additional 10 outermost lateral spots (5 before and after the main sequence) are used to determine the field orientation. Gθ fields: these are treatment fields developed to target a hypothetical tumor delineated in the phantom’s CT images. They define complex field shapes consisting of multiple energy layers and spots with widely varying weights. The employed irradiation fields are provided as *.pld files in 0_Materials_and_Methods.zip. For several measurements, a beam range shifter with a water-equivalent thickness of 7.38 cm was inserted into the beamline. It was rigidly attached to the snout holding the detection units, ensuring a fixed position throughout the measurements. Produced gamma rays were measured with eight scintillation detectors placed at: 0° (detector p0012); 180° (detector p0008); 45° (detector p0017); 225° (detector p0006); 90° (detector p0015); 270° (detector p0013); 135° (detector p0009); 315° (detector p0019). Measurements: the four experimental studies were conducted, and the data from these studies are given in the corresponding zip archives: Evaluate the count-rate capacity of the PGT system: the phantom was in the G270 orientation; an EqualMU plan comprising 9 energy layers (combinations of {150, 120, 90}MeV and {0.01, 0.1, 1}MU was used. Due to the limitations on the minimal spot weight imposed by the beam delivery system, the 0.01 MU spots actually weighed 0.0101 MU. Data only for the 7 detectors employed in this experiment are provided in 1_Count_rate_capacity.zip. Experimental and clinical machine log files are not given (due to internal regulations). Investigate the range shifter contribution to the PGT data: The data are provided only for the detector p0006 (at 225°) placed inside a hollow cylindrical lead collimator (r1=2'', r2=2''+1 cm). The range shifter was inserted in the beamline; the phantom was in nose45 orientation; two DistalLayer plans with 104 MeV and 187 MeV energy layers were applied. After passing the range shifter, these correspond to proton energies of 30 MeV and 150 MeV, respectively. Each plan comprised 24 identical energy layers and delivered a total of 1009 MU. Data from these measurements are provided in 2_Range_shifter_contribution.zip. Study spot-position dependence in scanned fields: the phantom was positioned as nose0; the range shifter was removed from the beamline to ensure only a single (target-related) peak in time distributions; EqualMU fields of {90, 120, 150} MeV and with spots of 1 MU weight were applied, each field comprised 8 identical layers and was delivered 2 times. Note that during the second repetition of the 120 MeV field, the file for p0012 was corrupted; therefore, the field was applied for the third time, and for this repetition, the file for p0015 was corrupted. Therefore, there are 3 data files for all detectors except for p0012 and p0015. Data files are in 3_Spot_position_dependence_in_scanned_fields.zip. Investigate the stability of the PGT mean with irradiation time: phantom was in the nose0 orientation; the range shifter was removed from the beamline; EqualMU fields with energy layers of {90, 120, 150}MeV and spot weights of either 0.2 MU or 1 MU were delivered. Fields with 0.2 MU spots included 40 identical energy layers, while those with 1 MU spots included 8 layers. Each field was delivered twice, in a random order. Since studies 3 and 4 overlap (they comprise the same measurements with {90, 120, 150} MeV and 1 MU fields), only the data from {90, 120, 150} MeV and 0.2 MU fields are included in 4_Stability_of_PGT_mean.zip. The remaining files for {90, 120, 150} MeV and 1 MU fields have already been given in 3_Spot_position_dependence_in_scanned_fields.zip. Data preprocessing: The raw data of each measurement were converted from the binary list-mode format to ROOT TTrees. The data were corrected for the photomultiplier gain drift and digitalization time non-linearities. The integral signal was converted into deposited energy. The data were assigned to individual corresponding spots. Data structure: The ROOT files are named u100-p00XX-yyyy-mm-dd_HH.MM.SS+TZ.root, where p00XX is the detector’s number, yyyy-mm-dd_HH.MM.SS is the time of the measurement, and TZ is the time zone. In general, the data structure inside the ROOT files includes: data (TTree) contains list-mode data, which comprises uncorrected (original measured) data. It contains branches: Triggertime (in time stamps, when the event triggered the data acquisition) Livetime (in time stamps, when the detector was idle) Energy (in a.u., normalized integral over the pulse) HeadEnergy (in a.u.) corrected and calibrated data. It comprises branches: EnergyGainCorrected (in a.u., pulse integral after applying correction for a photomultiplier gain drift). EnergyCalibrated (in MeV, calibrated pulse integral). FineTimeCorrected (in ns, detection time within the cyclotron acceleration period after correcting for time non-linearities). GlobalSpotID (in a.u., assigns a global ID to a spot, which incrementally increases for each new spot. If there is no beam, the counter is 0). LayerID (in a.u., an ID of the current energy layer. Outside the layer (no beam), the counter is 0). LocalSpotID (in a.u., a spot ID within the current layer. Outside the spot (no beam), the counter is 0). SpotMU (in MU, a spot weight of the current spot extracted from machine log files. If there was no spot irradiated, this value is 0). SpotEnergy (in MeV, the energy of the current energy layer taken from machine log files. Outside energy layers, this value is 0). SpotXCoordinate, SpotYCoordinate (in mm, the measured X- and Y-coordinates of the current spot. Outside the spot (no beam), these values are 10000). meta (TTree) is measurement metadata (applied detector voltage, the start time of the measurements, etc.); histograms is a directory with selected example histograms (uncorrected); analysis is a directory with histograms to correct and calibrate data, which are later saved into the data TTree. The main subdirectories here are: 00_General_Information contains data from machine log files: how many energy layers were irradiated, of which energies, how many spots each layer comprised, etc. 01_Layers_and_Spots_Detection contains histograms with the start and stop time of every energy layer and spot. 02_Gain_Correction includes histograms used to correct for photomultiplier gain drift. The procedure is described in Werner et al. (2019) in Phys. Med. Biol. 64 105023, 20pp (https://doi.org/10.1088/1361-6560/ab176d). 03_Energy_Calibration contains data of the performed energy calibration of the detector. 04_Fine_Time_Linearization comprises histograms used to correct for differential and integral time non-linearities. The procedure is described in Werner et al. (2019) in Phys. Med. Biol. 64 105023, 20pp (https://doi.org/10.1088/1361-6560/ab176d). Further, the authors typically employed an energy selection window of 0.7-7.40 MeV and subtracted time-uncorrelated background using the closest neighbor algorithm, as described in the dedicated publication. For further questions, please contact the persons stated above. https://rodare.hzdr.de/record/4437 10.14278/rodare.4437 oai:rodare.hzdr.de:4437 url:https://www.hzdr.de/publications/Publ-42868 url:https://www.hzdr.de/publications/Publ-42869 doi:10.14278/rodare.4436 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess prompt gamma timing PGT prompt gamma-ray timing proton range verification proton range monitoring Data publication: Performance of the Prompt Gamma-ray Timing system prototype under clinical-like conditions info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4130 2026-02-13T12:09:51Z openaire_data user-health user-hzdr user-oncoray user-rodare

Schaart, Dennis Huizenga, Jan Jagt, Thyrza Wecker, Franziska Römer, Katja Wolf, Andreas Müller, Sara Urban, Konstantin Kieslich, Aaron van Zanten, Julian Kreuger, Rob Kögler, Toni 2026-01-01 Contact person(s): Jagt, Thyrza; Kögler, Toni Project leader(s): Kögler, Toni This dataset contains data gathered in the experimental run of July and August 2025, designed to characterize newly developed Multi-Feature Treatment Verification (MFTV) detectors. MFTV is the next generation of Prompt Gamma-Ray Treatment Verification. Detectors, experimental setup, data acquisition, and data processing are described in the Documentation.pdf. For questions regarding the database, please refer to the beforementioned contact persons. https://rodare.hzdr.de/record/4130 10.14278/rodare.4130 oai:rodare.hzdr.de:4130 eng url:https://www.hzdr.de/publications/Publ-43006 doi:10.14278/rodare.4129 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Multi-Feature Treatment Verification Prompt-Gamma Timing Proton Range Verification Experimental data of first characterization experiment of novel Multi-Feature Treatment Verification detectors info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2872 2024-08-12T08:05:48Z openaire_data user-rodare user-health user-hzdr user-oncoray

Werner, Rahel-Debora Franke, Anna Makarevich, Krystsina Kögler, Toni Kögler, Toni Stach, Daniel Weinberger, David Wolf, Andreas Dreyer, Anne Makarevich, Krystsina Schellhammer, Sonja Pausch, Guntram Römer, Katja Tiebel, Jessica Turko, Joseph Alexander Bunker Wagner, Andreas Kögler, Toni 2024-05-16 The dataset contains the data reported on https://www.hzdr.de/publications/Publ-39073 where 2 proton bunch monitors (PBMs), namely the diamond detector and the cyclotron monitoring signal Uphi, are established, characterized, and applied for correcting the prompt gamma-ray timing (PGT) data. Experimental setup, irradiation modalities, data acquisition, and data pre- and postprocessing are described there. The process is summarized in the following: Experimental setup: A homogeneous cylindrical PMMA phantom was irradiated with a proton beam. Two sets of measurements were considered: S1) measurements at the horizontal fixed beamline with the control of the beam time structure and current. These data establish the relation between the investigated PBMs and calibrate them to the scattering setup that provides the proton bunch arrival time in the experimental room. The phantom was irradiated with 7 different proton energies Ep = {70, 90, 110, 130, 160, 190, 224} MeV. For each Ep, 3 irradiation modalities were applied: CW-mode represented the continuous beam lasting for 30 s, the beam current Ibeam = 2 nA for all Ep excluding 70 MeV (for 70 MeV, Ibeam = 0.5 nA); Plan I represented a clinically realistic plan with a spot duration of 4 ms and a spot repetition time of 7 ms. The beam current Ibeam = 1 nA for all Ep excluding 70 MeV (for 70 MeV, Ibeam = 0.5 nA); Plan II aimed to reproduce the measurements of Werner et al. (2019) in Phys. Med. Biol. 64 105023, 20pp (https://doi.org/10.1088/1361-6560/ab176d). For that, the spot duration was set to 69 ms, and the repetition time was 72 ms. The beam current Ibeam = 1 nA for all Ep excluding 70 MeV (for 70 MeV, Ibeam = 0.5 nA). S2) measurements at the pencil beam scanning (PBS) beamline were similar to those at the clinical beam delivery nozzle. The PBS beamline delivers the beam as spots of given intensity (expressed in MU), (x,y)-coordinates, and energy (corresponds to the penetration depth or z-coordinate). These data comprise data from the PGT detector and PBMs and are used to correct the PGT data employing the investigated PBMs. The phantom was irradiated with 8 different proton energies Ep = {70, 90, 110, 130, 162, 180, 200, 220} MeV. For every energy, 2 spot intensities were considered: 0.1 MU per 1 spot (~1e7 protons) and 1 MU per 1 spot (~1e8 protons). For Ep = 162 MeV, an additional spot intensity of 10 MU per 1 spot (~1e9 protons) was applied to reproduce the measurements of Werner et al. (2019) in Phys. Med. Biol. 64 105023, 20pp (https://doi.org/10.1088/1361-6560/ab176d). Data preprocessing: The raw data of each measurement were converted from the binary list-mode format to ROOT TTrees. The data were corrected for the photomultiplier gain drift, and digitalization time non-linearities, and the integral signal was converted into deposited energy. For the measurements at the fixed beamline, the coincidence analysis was applied additionally for non-PBM detectors. The data were assigned to individual corresponding spots for the PBS beamline measurements. Data structure: The ROOT files are named u100-p00XX-yyyy-mm-dd_HH.MM.SS+TZ.root where p00XX is the detector’s number, yyyy-mm-dd_HH.MM.SS is the time of the measurement, and TZ is the time zone. Here, p0012 and p0019 mean scintillating detectors that were used both at the fixed beamline, and only detector p0012 was used for PGT measurements at the PBS beamline. P0015 is the diamond detector, and p0017 contains data of the Uphi signal. In general, the data structure inside the ROOT files is different depending on the purpose of the detector. However, there are some general includes: data (TTree) contains list-mode data which comprises uncorrected data: before corrections and calibrations steps; corrected data: after correcations and calibrations steps; meta (TTree) is a measurement metadata (applied detector voltage, the start time of the measurements, etc.); histograms is a directory with selected example histograms (uncorrected); analysis is a directory with histograms with corrected data used for the analysis. For further questions, please refer to the contact persons stated above. https://rodare.hzdr.de/record/2872 10.14278/rodare.2872 oai:rodare.hzdr.de:2872 eng doi:10.14278/rodare.2872 url:https://www.hzdr.de/publications/Publ-39104 url:https://www.hzdr.de/publications/Publ-39104 url:https://www.hzdr.de/publications/Publ-39104 doi:10.14278/rodare.2872 url:https://www.hzdr.de/publications/Publ-39104 doi:10.14278/rodare.2872 url:https://www.hzdr.de/publications/Publ-39073 url:https://www.hzdr.de/publications/Publ-39104 doi:10.14278/rodare.2871 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode prompt gamma timing PGT proton bunch monitor PBM proton range verification Experimental data for investigating proton bunch monitors for clinical translation of prompt gamma-ray timing info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2559 2024-08-12T08:30:05Z openaire_data user-fwk user-rodare user-oncoray user-athena

Schneider, Moritz Schilz, Joshua Schürer, Michael Gantz, Sebastian Dreyer, Anne Rothe, Gerd Tillner, Falk Bodenstein, Elisabeth Horst, Felix Beyreuther, Elke 2023-11-16 This repository contains the data shown in the results part of the paper entitled: SAPPHIRE - Establishment of image-guided small animal proton and photon irradiation experiments. https://rodare.hzdr.de/record/2559 10.14278/rodare.2559 oai:rodare.hzdr.de:2559 eng url:https://www.hzdr.de/publications/Publ-37852 doi:10.14278/rodare.2558 url:https://rodare.hzdr.de/communities/athena url:https://rodare.hzdr.de/communities/fwk url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data publication: SAPPHIRE - Establishment of image-guided small animal proton and photon irradiation experiments info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2645 2024-08-12T08:30:05Z openaire_data user-fwk user-rodare user-oncoray user-athena

Schneider, Moritz Schilz, Joshua Schürer, Michael Gantz, Sebastian Dreyer, Anne Rothe, Gerd Tillner, Falk Bodenstein, Elisabeth Horst, Felix Ernst Beyreuther, Elke 2024-01-09 This repository contains the data shown in the results part of the paper entitled: SAPPHIRE - Establishment of small animal proton and photon image-guided radiation experiments. https://rodare.hzdr.de/record/2645 10.14278/rodare.2645 oai:rodare.hzdr.de:2645 eng url:https://www.hzdr.de/publications/Publ-37852 url:https://www.hzdr.de/publications/Publ-39125 doi:10.14278/rodare.2558 url:https://rodare.hzdr.de/communities/athena url:https://rodare.hzdr.de/communities/fwk url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data publication: SAPPHIRE - Establishment of small animal proton and photon image-guided radiation experiments info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1832 2024-08-12T08:09:00Z openaire_data user-rodare user-elbe user-draco-elbe user-oncoray

Reimold, Marvin Assenbaum, Stefan Bernert, Constantin Beyreuther, Elke Brack, Florian-Emanuel Karsch, Leonhard Kraft, Stephan Kroll, Florian Löser, Markus Nossula, Alexej Pawelke, Jörg Püschel, Thomas Schlenvoigt, Hans-Peter Schramm, Ulrich Umlandt, Marvin Elias Paul Zeil, Karl Ziegler, Tim Metzkes-Ng, Josefine 2022-08-10 This dataset contains the raw and evaluated data of the paper plus the script for plotting the results. https://rodare.hzdr.de/record/1832 10.14278/rodare.1832 oai:rodare.hzdr.de:1832 doi:10.17815/jlsrf-2-58 url:https://www.hzdr.de/publications/Publ-35006 url:https://www.hzdr.de/publications/Publ-35011 doi:10.14278/rodare.1831 url:https://rodare.hzdr.de/communities/draco-elbe url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data publication: Time-of-Flight spectroscopy for laser-driven proton beam monitoring info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2381 2024-08-12T07:55:04Z openaire_data user-health user-rodare user-hzdr user-elbe user-direct-electron-beam-at-elbe user-draco-elbe user-oncoray

Metzkes-Ng, Josefine Brack, Florian-Emanuel Kroll, Florian Bernert, Constantin Bock, Stefan Bodenstein, Elisabeth Brand, Michael Cowan, Thomas Gebhardt, René Hans, Stefan Helbig, Uwe Horst, Felix Ernst Jansen, Jeannette Kraft, Stephan Krause, Mechthild Leßmann, Elisabeth Löck, Steffen Pawelke, Jörg Püschel, Thomas Reimold, Marvin Rehwald, Martin Richter, Christian Schlenvoigt, Hans-Peter Schramm, Ulrich Schürer, Michael Seco, Joao Szabó, Emília Rita Umlandt, Marvin Elias Paul Zeil, Karl Ziegler, Tim Beyreuther, Elke 2023-07-24 Source data, scripts and parts of figures to generate the figures in publication https://rodare.hzdr.de/record/2381 10.14278/rodare.2381 oai:rodare.hzdr.de:2381 url:https://www.hzdr.de/publications/Publ-37304 url:https://www.hzdr.de/publications/Publ-37303 doi:10.14278/rodare.2380 url:https://rodare.hzdr.de/communities/direct-electron-beam-at-elbe url:https://rodare.hzdr.de/communities/draco-elbe url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Laser-Plasma Acceleration FLASH Radiobiology Laser-driven proton acceleration TNSA UHDR Ultra-high dose rate Cancer Radiotherapy Data publication: The DRESDEN PLATFORM – A Research Hub for Ultra-high Dose Rate Radiobiology info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2582 2024-08-12T08:30:05Z openaire_data user-fwk user-rodare user-oncoray user-athena

Schneider, Moritz Schilz, Joshua Schürer, Michael Gantz, Sebastian Dreyer, Anne Rothe, Gerd Tillner, Falk Bodenstein, Elisabeth Horst, Felix Beyreuther, Elke 2023-11-28 This repository contains the data shown in the results part of the paper entitled: SAPPHIRE - Establishment of small animal proton and photon image-guided radiation experiments. https://rodare.hzdr.de/record/2582 10.14278/rodare.2582 oai:rodare.hzdr.de:2582 eng url:https://www.hzdr.de/publications/Publ-37852 doi:10.14278/rodare.2558 url:https://rodare.hzdr.de/communities/athena url:https://rodare.hzdr.de/communities/fwk url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data publication: SAPPHIRE - Establishment of small animal proton and photon image-guided radiation experiments info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2764 2024-08-14T11:53:28Z openaire_data user-rodare user-oncoray

Starke, Sebastian Kieslich, Aaron Markus Palkowitsch, Martina Hennings, Fabian Troost, Esther Gera Cornelia Krause, Mechthild Bensberg, Jona Hahn, Christian Heinzelmann, Feline Bäumer, Christian Lühr, Armin Timmermann, Beate Löck, Steffen 2024-03-15 This repository contains the outputs and result data of our deep-learning-based experiments for the approximation of Monte-Carlo-simulated linear energy transfer distributions, which build the foundation for the corresponding article. The Pytorch checkpoint of our finally chosen SegResNet architecture trained on the UPTD dose distributions is located at dd_pbs/Dose-LETd/clip_let_below_0.04/segresnet/all_trainvalid_data/training/lightning_logs/version_6358843/checkpoints/last.ckpt. Moreover, we provide an exemplary data sample from a water phantom for trying our analysis pipeline. https://rodare.hzdr.de/record/2764 10.14278/rodare.2764 oai:rodare.hzdr.de:2764 url:https://www.hzdr.de/publications/Publ-38860 url:https://www.hzdr.de/publications/Publ-38858 doi:10.14278/rodare.2763 url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode proton-beam therapy relative biological effectiveness linear energy transfer NTCP models deep learning brain tumor Data publication: A deep-learning-based surrogate model for Monte-Carlo simulations of the linear energy transfer in primary brain tumor patients treated with proton-beam radiotherapy info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3025 2024-08-14T11:53:28Z openaire_data user-rodare user-oncoray

Starke, Sebastian Kieslich, Aaron Markus Palkowitsch, Martina Hennings, Fabian Troost, Esther Gera Cornelia Krause, Mechthild Bensberg, Jona Hahn, Christian Heinzelmann, Feline Bäumer, Christian Lühr, Armin Timmermann, Beate Löck, Steffen 2024-06-21 This repository contains the outputs and result data of our deep-learning-based experiments for the approximation of Monte-Carlo-simulated linear energy transfer distributions, which build the foundation for the corresponding article. The Pytorch checkpoint of our finally chosen SegResNet architecture trained on the UPTD dose distributions is located at dd_pbs/Dose-LETd/clip_let_below_0.04/segresnet/all_trainvalid_data/training/lightning_logs/version_6358843/checkpoints/last.ckpt. Moreover, we provide an exemplary data sample from a water phantom for trying our analysis pipeline. Update: In this new version we added results of the gamma analyses and the results obtained when trained on the same data as the above model with the difference that we did not clip Monte-Carlo-simulated LET maps as requested during the review process. https://rodare.hzdr.de/record/3025 10.14278/rodare.3025 oai:rodare.hzdr.de:3025 url:https://www.hzdr.de/publications/Publ-38860 url:https://www.hzdr.de/publications/Publ-39339 url:https://www.hzdr.de/publications/Publ-38858 doi:10.14278/rodare.2763 url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode proton-beam therapy relative biological effectiveness linear energy transfer NTCP models deep learning brain tumor Data publication: A deep-learning-based surrogate model for Monte-Carlo simulations of the linear energy transfer in primary brain tumor patients treated with proton-beam radiotherapy info:eu-repo/semantics/other dataset