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Your search keyword '"Kurz, Christopher"' showing total 15 results
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15 results on '"Kurz, Christopher"'

1. Continuous time-resolved estimated synthetic 4D-CTs for dose reconstruction of lung tumor treatments at a 0.35 T MR-linac

Author

Rabe, Moritz, primary, Paganelli, Chiara, additional, Schmitz, Henning Peter, additional, Meschini, Giorgia, additional, Riboldi, Marco, additional, Hofmaier, Jan, additional, Nierer-Kohlhase, Lukas, additional, Dinkel, Julien, additional, Reiner, Michael, additional, Parodi, Katia, additional, Belka, Claus, additional, Landry, Guillaume, additional, Kurz, Christopher, additional, and Kamp, Florian, additional

Published
2023
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2. Offline and online LSTM networks for respiratory motion prediction in MR-guided radiotherapy

Author

Lombardo, Elia, primary, Rabe, Moritz, additional, Xiong, Yuqing, additional, Nierer, Lukas, additional, Cusumano, Davide, additional, Placidi, Lorenzo, additional, Boldrini, Luca, additional, Corradini, Stefanie, additional, Niyazi, Maximilian, additional, Belka, Claus, additional, Riboldi, Marco, additional, Kurz, Christopher, additional, and Landry, Guillaume, additional

Published
2022
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4. Porcine lung phantom-based validation of estimated 4D-MRI using orthogonal cine imaging for low-field MR-Linacs

Author

Rabe, Moritz, primary, Paganelli, Chiara, additional, Riboldi, Marco, additional, Bondesson, David, additional, Jörg Schneider, Moritz, additional, Chmielewski, Thomas, additional, Baroni, Guido, additional, Dinkel, Julien, additional, Reiner, Michael, additional, Landry, Guillaume, additional, Parodi, Katia, additional, Belka, Claus, additional, Kamp, Florian, additional, and Kurz, Christopher, additional

Published
2021
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10. Application of single- and dual-energy CT brain tissue segmentation to PET monitoring of proton therapy

Author

Berndt, Bianca, primary, Landry, Guillaume, additional, Schwarz, Florian, additional, Tessonnier, Thomas, additional, Kamp, Florian, additional, Dedes, George, additional, Thieke, Christian, additional, Würl, Matthias, additional, Kurz, Christopher, additional, Ganswindt, Ute, additional, Verhaegen, Frank, additional, Debus, Jürgen, additional, Belka, Claus, additional, Sommer, Wieland, additional, Reiser, Maximilian, additional, Bauer, Julia, additional, and Parodi, Katia, additional

Published
2017
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11. A novel method for interactive multi-objective dose-guided patient positioning

Author

Haehnle, Jonas, primary, Süss, Philipp, additional, Landry, Guillaume, additional, Teichert, Katrin, additional, Hille, Lucas, additional, Hofmaier, Jan, additional, Nowak, Dimitri, additional, Kamp, Florian, additional, Reiner, Michael, additional, Thieke, Christian, additional, Ganswindt, Ute, additional, Belka, Claus, additional, Parodi, Katia, additional, Küfer, Karl-Heinz, additional, and Kurz, Christopher, additional

Published
2016
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14. Proton dose calculation with LSTM networks in presence of a magnetic field.

Author

Radonic D, Xiao F, Wahl N, Voss L, Neishabouri A, Delopoulos N, Marschner S, Corradini S, Belka C, Dedes G, Kurz C, and Landry G

Abstract

Objective: To present a long short-term memory (LSTM) network-based dose calculation method for magnetic resonance (MR)-guided proton therapy., Approach: 35 planning computed tomography (CT) images of prostate cancer patients were collected for Monte Carlo (MC) dose calculation under a perpendicular 1.5 T magnetic field. Proton pencil beams (PB) at three energies (150, 175, and 200 MeV) were simulated (7560 PBs at each energy). A 3D relative stopping power (RSP) cuboid covering the extent of the PB dose was extracted and given as input to the LSTM model, yielding a 3D predicted PB dose. Three single-energy (SE) LSTM models were trained separately on the corresponding 150/175/200 MeV datasets and a multi-energy (ME) LSTM model with an energy embedding layer was trained on either the combined dataset with three energies or a continuous energy (CE) dataset with 1 MeV steps ranging from 125 to 200 MeV. For each model, training and validation involved 25 patients and 10 patients were for testing. Two single field uniform dose prostate treatment plans were optimized and recalculated with MC and the CE model., Results: Test results of all PBs from the three SE models showed a mean gamma passing rate (2%/2mm, 10% dose cutoff) above 99.9% with an average center-of-mass (COM) discrepancy below 0.4 mm between predicted and simulated trajectories. The ME model showed a mean gamma passing rate exceeding 99.8% and a COM discrepancy of less than 0.5 mm at the three energies. Treatment plan recalculation by the CE model yielded gamma passing rates of 99.6% and 97.9%. The inference time of the models was 9-10 ms per PB., Significance: LSTM models for proton dose calculation in a magnetic field were developed and showed promising accuracy and efficiency for prostate cancer patients., (Creative Commons Attribution license.)

Published
2024
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15. A novel method for interactive multi-objective dose-guided patient positioning.

Author

Haehnle J, Süss P, Landry G, Teichert K, Hille L, Hofmaier J, Nowak D, Kamp F, Reiner M, Thieke C, Ganswindt U, Belka C, Parodi K, Küfer KH, and Kurz C

Subjects
Head and Neck Neoplasms radiotherapy, Humans, Male, Prostatic Neoplasms radiotherapy, Radiotherapy Dosage, Radiotherapy, Intensity-Modulated, Patient Positioning methods, Radiation Dosage, Radiotherapy Planning, Computer-Assisted methods
Abstract

In intensity-modulated radiation therapy (IMRT), 3D in-room imaging data is typically utilized for accurate patient alignment on the basis of anatomical landmarks. In the presence of non-rigid anatomical changes, it is often not obvious which patient position is most suitable. Thus, dose-guided patient alignment is an interesting approach to use available in-room imaging data for up-to-date dose calculation, aimed at finding the position that yields the optimal dose distribution. This contribution presents the first implementation of dose-guided patient alignment as multi-criteria optimization problem. User-defined clinical objectives are employed for setting up a multi-objective problem. Using pre-calculated dose distributions at a limited number of patient shifts and dose interpolation, a continuous space of Pareto-efficient patient shifts becomes accessible. Pareto sliders facilitate interactive browsing of the possible shifts with real-time dose display to the user. Dose interpolation accuracy is validated and the potential of multi-objective dose-guided positioning demonstrated for three head and neck (H&N) and three prostate cancer patients. Dose-guided positioning is compared to replanning for all cases. A delineated replanning CT served as surrogate for in-room imaging data. Dose interpolation accuracy was high. Using a [Formula: see text] dose difference criterion, a median pass-rate of 95.7% for H&N and 99.6% for prostate cases was determined in a comparison to exact dose calculations. For all patients, dose-guided positioning allowed to find a clinically preferable dose distribution compared to bony anatomy based alignment. For all H&N cases, mean dose to the spared parotid glands was below [Formula: see text] (up to [Formula: see text] with bony alignment) and clinical target volume (CTV) [Formula: see text] above 99.1% (compared to 95.1%). For all prostate patients, CTV [Formula: see text] was above 98.9% (compared to 88.5%) and [Formula: see text] to the rectum below [Formula: see text] (compared to 56.1%). Replanning yielded improved results for the H&N cases. For the prostate cases, differences to dose-guided positioning were minor.

Published
2017
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