The reference publication for RTK is

Rit, S., Vila Oliva, M., Brousmiche, S., Labarbe, R., Sarrut, D., & Sharp, G. C. (2014). The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK). Journal of Physics: Conference Series, 489, 012079.

The following articles have used and cited RTK

Wu, D., Chen, P., Wang, X., Lyngaas, I., Miyajima, T., Endo, T., Matsuoka, S., & Wahib, M. (2024). Real-time High-resolution X-Ray Computed Tomography. Proceedings of the 38th ACM International Conference on Supercomputing.

Rodesch, P.-A., Richtsmeier, D., Murphy, K., Iniewski, K., & Bazalova-Carter, M. (2024). Photon-counting detector step-wedge calibration enabling water and iodine material decomposition. Journal of Instrumentation, 19(05), P05030.

Chan, Y. C. I., Li, M., Thummerer, A., Parodi, K., Belka, C., Kurz, C., & Landry, G. (2024). Minimum imaging dose for deep learning-based pelvic synthetic computed tomography generation from cone beam images. Physics and Imaging in Radiation Oncology, 30, 100569.

Keeler, A., Lehmann, M., Luce, J., Kaur, M., Roeske, J., & Kang, H. (2024). Technical note: TIGRE‐DE for the creation of virtual monoenergetic images from dual‐energy cone‐beam CT. Medical Physics, 51(4), 2975–2982. Portico.

Wei, C., Albrecht, J., Rit, S., Laurendeau, M., Thummerer, A., Corradini, S., Belka, C., Steininger, P., Ginzinger, F., Kurz, C., Riboldi, M., & Landry, G. (2024). Reduction of cone‐beam CT artifacts in a robotic CBCT device using saddle trajectories with integrated infrared tracking. Medical Physics, 51(3), 1674–1686. Portico.

Belotti, G., Fattori, G., Baroni, G., & Rit, S. (2023). Extension of the cone‐beam CT field‐of‐view using two complementary short scans. Medical Physics, 51(5), 3391–3404. Portico.

Martín-Luna, P., Esperante, D., Fernández Prieto, A., Fuster-Martínez, N., García Rivas, I., Gimeno, B., Ginestar, D., González-Iglesias, D., Hueso, J. L., Llosá, G., Martinez-Reviriego, P., Meneses-Felipe, A., Riera, J., Vázquez Regueiro, P., & Hueso-González, F. (2024). Simulation of electron transport and secondary emission in a photomultiplier tube and experimental validation. Sensors and Actuators A: Physical, 365, 114859.

Messner, I. M., Keuschnigg, P., Stöllinger, B., Kraihamer, M., Coste‐Marin, J., Huber, P., Kellner, D., Kreuzeder, E. M., Steininger, P., & Deutschmann, H. (2023). Investigating focal spot position drift in a mobile imaging system equipped with a monobloc‐based x‐ray generator. Medical Physics, 51(5), 3578–3589. Portico.

Belotti, G., Rossi, M., Pella, A., Cerveri, P., & Baroni, G. (2023). A new system for in-room image guidance in particle therapy at CNAO. Physica Medica, 114, 103162.

Hellwege, L., Schaar, M., Buzug, T. M., & Stille, M. (2023). Enhancing virtual monoenergetic images for non-congruent dual-energy CT projection data. Current Directions in Biomedical Engineering, 9(1), 674–677.

Dillon, O., Reynolds, T., & O’Brien, R. T. (2023). X-ray source arrays for volumetric imaging during radiotherapy treatment. Scientific Reports, 13(1).

Clark, D. P., & Badea, C. T. (2023). MCR toolkit: A GPU‐based toolkit for multi‐channel reconstruction of preclinical and clinical x‐ray CT data. Medical Physics, 50(8), 4775–4796. Portico.

Vijayakumar, J., Goudarzi, N. M., Eeckhaut, G., Schrijnemakers, K., Cnudde, V., & Boone, M. N. (2023). Characterization of Pharmaceutical Tablets by X-ray Tomography. Pharmaceuticals, 16(5), 733.

Rossi, M., Belotti, G., Baroni, G., & Cerveri, P. (2023). Feasibility of Proton Dosimetry Overriding Planning CT with Daily CBCT Elaborated through Generative Artificial Intelligence Tools.

Lee, H., Cheon, B.-W., Feld, J. W., Grogg, K., Perl, J., Ramos-Méndez, J. A., Faddegon, B., Min, C. H., Paganetti, H., & Schuemann, J. (2023). TOPAS-imaging: extensions to the TOPAS simulation toolkit for medical imaging systems. Physics in Medicine & Biology, 68(8), 084001.

Mouchet, M., Létang, J. M., Lesaint, J., & Rit, S. (2023). Cone-Beam Pair-Wise Data Consistency Conditions in Helical CT. IEEE Transactions on Medical Imaging, 42(10), 2853–2864.

Noblet, B., Chabanas, M., Rouzé, S., & Voros, S. (2023). Registration of 2D monocular endoscopy to 3D CBCT for video-assisted thoracoscopic surgery. Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling.

Wei, R., Liu, Y., Chen, X., Zhu, J., Yang, B., Men, K., & Dai, J. (2023). A projection‐domain correction method in CBCT reconstruction for head and neck radiotherapy using cycle‐GAN and nonlocal means filter. Medical Physics, 50(8), 5045–5060. Portico.

Gardner, M., Bouchta, Y. B., Mylonas, A., Mueller, M., Cheng, C., Chlap, P., Finnegan, R., Sykes, J., Keall, P. J., & Nguyen, D. T. (2023). Realistic CT data augmentation for accurate deep‐learning based segmentation of head and neck tumors in kV images acquired during radiation therapy. Medical Physics, 50(7), 4206–4219. Portico.

Schmitz, H., Rabe, M., Janssens, G., Rit, S., Parodi, K., Belka, C., Kamp, F., Landry, G., & Kurz, C. (2023). Scatter correction of 4D cone beam computed tomography to detect dosimetric effects due to anatomical changes in proton therapy for lung cancer. Medical Physics, 50(8), 4981–4992. Portico.

Blake, S. J., Dillon, O., Byrne, H. L., & O’Brien, R. T. (2023). Thoracic motion‐compensated cone‐beam computed tomography in under 20 seconds on a fast‐rotating linac: A simulation study. Journal of Applied Clinical Medical Physics, 24(3). Portico.

Rodesch, P.-A., Richtsmeier, D., Guliyev, E., Iniewski, K., & Bazalova-Carter, M. (2023). Comparison of Threshold Energy Calibrations of a Photon-Counting Detector and Impact on CT Reconstruction. IEEE Transactions on Radiation and Plasma Medical Sciences, 7(3), 263–272.

Saporta, A., Etxebeste, A., Kaprelian, T., Létang, J. M., & Sarrut, D. (2022). Modeling families of particle distributions with conditional GAN for Monte Carlo SPECT simulations. Physics in Medicine & Biology, 67(23), 234001.

Charles, M., Clackdoyle, R., & Rit, S. (2022). Cone-beam reconstruction for a circular trajectory with transversely-truncated projections based on the virtual fan-beam method. 7th International Conference on Image Formation in X-Ray Computed Tomography.

Du, Y., Wang, R., Biguri, A., Zhao, X., Peng, Y., & Wu, H. (2022). TIGRE-VarianCBCT for on-board cone-beam computed tomography, an open-source toolkit for imaging, dosimetry and clinical research. Physica Medica, 102, 33–45.

Robert, A., Rit, S., Baudier, T., Jomier, J., & Sarrut, D. (2022). Data-Driven Respiration-Gated SPECT for Liver Radioembolization. IEEE Transactions on Radiation and Plasma Medical Sciences, 6(7), 778–787.

Thummerer, A., Seller Oria, C., Zaffino, P., Visser, S., Meijers, A., Guterres Marmitt, G., Wijsman, R., Seco, J., Langendijk, J. A., Knopf, A. C., Spadea, M. F., & Both, S. (2022). Deep learning–based 4D‐synthetic CTs from sparse‐view CBCTs for dose calculations in adaptive proton therapy. Medical Physics, 49(11), 6824–6839. Portico.

Maloney, B. W., Streeter, S. S., Jermyn, M., Kempner, J., Gesner, M., Meganck, J., Paulsen, K. D., & Pogue, B. W. (2022). Design and analysis of a combined micro-computed tomography and optical structured light system for breast conserving surgery specimen margin imaging. Multimodal Biomedical Imaging XVII.

van der Heyden, B., Roden, S., Dok, R., Nuyts, S., & Sterpin, E. (2022). Virtual monoenergetic micro-CT imaging in mice with artificial intelligence. Scientific Reports, 12(1).

Ben Mosbah, M., Eleon, C., Tisseur, D., Doghmane, A., & Bakhabba, H. (2022). Boron-Coated Straws Imaging Panel Capability for Neutron Emission Computed Tomography for Source Localization Inside Radioactive Drums. IEEE Transactions on Nuclear Science, 69(4), 804–810.

Rabbani, H., Teyfouri, N., & Jabbari, I. (2022). Low-dose cone-beam computed tomography reconstruction through a fast three-dimensional compressed sensing method based on the three-dimensional pseudo-polar fourier transform. Journal of Medical Signals & Sensors, 12(1), 8.

Champley, K. M., Willey, T. M., Kim, H., Bond, K., Glenn, S. M., Smith, J. A., Kallman, J. S., Brown, W. D., Seetho, I. M., Keene, L., Azevedo, S. G., McMichael, L. D., Overturf, G., & Martz, H. E. (2022). Livermore tomography tools: Accurate, fast, and flexible software for tomographic science. NDT & E International, 126, 102595.

Dhou, S., Alkhodari, M., Ionascu, D., Williams, C., & Lewis, J. H. (2021). Fluoroscopic 3D Image Generation from Patient-Specific PCA Motion Models Derived from 4D-CBCT Patient Datasets: A Feasibility Study.

Mo, Y., Liu, J., Li, Q., Yu, J., Zhang, K., Gao, Y., & Zhang, H. (2021). Joint Motion Estimation and Compensation for Four-Dimensional Cone-Beam Computed Tomography Image Reconstruction. IEEE Access, 9, 147559–147569.

Brown, R., Kolbitsch, C., Delplancke, C., Papoutsellis, E., Mayer, J., Ovtchinnikov, E., Pasca, E., Neji, R., da Costa-Luis, C., Gillman, A. G., Ehrhardt, M. J., McClelland, J. R., Eiben, B., & Thielemans, K. (2021). Motion estimation and correction for simultaneous PET/MR using SIRF and CIL. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2204), 20200208.

Peter, J. (2021). Musiré: multimodal simulation and reconstruction framework for the radiological imaging sciences. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2204), 20200190.

Niu, P., Lihuiwang, Xie, B., Robini, M., Boussel, L., Douek, P., Zhu, Y., & Yang, F. (2021). Improved Image Reconstruction Using Multi-Energy Information in Spectral Photon-Counting CT. IEEE Access, 9, 97981–97989.

Lau, B. K. F., Reynolds, T., Wallis, A., Smith, S., George, A., Keall, P. J., Sonke, J.-J., Vinod, S. K., Dillon, O., & O’Brien, R. T. (2021). Reducing 4DCBCT scan time and dose through motion compensated acquisition and reconstruction. Physics in Medicine & Biology, 66(7), 075002.

Liu, P. Z. Y., Gardner, M., Heng, S. M., Shieh, C.-C., Nguyen, D. T., Debrot, E., O’Brien, R., Downes, S., Jackson, M., & Keall, P. J. (2021). Pre-treatment and real-time image guidance for a fixed-beam radiotherapy system. Physics in Medicine & Biology, 66(6), 064003.

Reynolds, T., Dillon, O., Prinable, J., Whelan, B., Keall, P. J., & O’Brien, R. T. (2021). Adaptive CaRdiac cOne BEAm computed Tomography (ACROBEAT): Developing the next generation of cardiac cone beam CT imaging. Medical Physics, 48(5), 2543–2552. Portico.

Kim, C., Jeong, C., Park, M.-J., Cho, B., Song, S. Y., Lee, S., & Kwak, J. (2021). A feasibility study of data redundancy based on-line geometric calibration without dedicated phantom on Varian OBI CBCT system. Medical Imaging 2021: Physics of Medical Imaging.

Sarrut, D., Etxebeste, A., Krah, N., & Létang, J. (2021). Modeling complex particles phase space with GAN for Monte Carlo SPECT simulations: a proof of concept. Physics in Medicine & Biology, 66(5), 055014.

abbas, marwa, Youness, H., & Hassan, A. (2021). An Acceleration Strategy for Generating Cone-Beam CT Images Based on “Multi-core” Systems. Journal of Advanced Engineering Trends, 40(2), 117–126.

Ruf, M., & Steeb, H. (2020). An open, modular, and flexible micro X-ray computed tomography system for research. Review of Scientific Instruments, 91(11).

Andersen, A. G., Park, Y.-K., Elstrøm, U. V., Petersen, J. B. B., Sharp, G. C., Winey, B., Dong, L., & Muren, L. P. (2020). Evaluation of an a priori scatter correction algorithm for cone-beam computed tomography based range and dose calculations in proton therapy. Physics and Imaging in Radiation Oncology, 16, 89–94.

den Otter, L. A., Chen, K., Janssens, G., Meijers, A., Both, S., Langendijk, J. A., Rosen, L. R., Wu, H. T., & Knopf, A. (2020). Technical Note: 4D cone‐beam CT reconstruction from sparse‐view CBCT data for daily motion assessment in pencil beam scanned proton therapy (PBS‐PT). Medical Physics, 47(12), 6381–6387. Portico.

Dillon, O., Keall, P. J., Shieh, C.-C., & O’Brien, R. T. (2020). Evaluating reconstruction algorithms for respiratory motion guided acquisition. Physics in Medicine & Biology, 65(17), 175009.

Reynolds, T., Dillon, O., Prinable, J., Whelan, B., Keall, P. J., & O’Brien, R. T. (2020). Toward improved 3D carotid artery imaging with Adaptive CaRdiac cOne BEAm computed Tomography (ACROBEAT). Medical Physics, 47(11), 5749–5760. Portico.

Gaudreault, D., Rossignol, J., Berube-Lauziere, Y., & Fontaine, R. (2021). Comparative Study of Image Quality in Time-Correlated Single-Photon Counting Computed Tomography. IEEE Transactions on Radiation and Plasma Medical Sciences, 5(3), 343–349.

Cai, M., Byrne, M., Archibald-Heeren, B., Metcalfe, P., Rosenfeld, A., & Wang, Y. (2020). Decoupling of bowtie and object effects for beam hardening and scatter artefact reduction in iterative cone-beam CT. Physical and Engineering Sciences in Medicine, 43(4), 1161–1170.

Madesta, F., Sentker, T., Gauer, T., & Werner, R. (2020). Self‐contained deep learning‐based boosting of 4D cone‐beam CT reconstruction. Medical Physics, 47(11), 5619–5631. Portico.

Lalonde, A., Winey, B., Verburg, J., Paganetti, H., & Sharp, G. C. (2020). Evaluation of CBCT scatter correction using deep convolutional neural networks for head and neck adaptive proton therapy. Physics in Medicine & Biology, 65(24), 245022.

Langer, M., Cen, Z., Rit, S., & Létang, J. M. (2020). Towards Monte Carlo simulation of X-ray phase contrast using GATE. Optics Express, 28(10), 14522.

Dhou, S., Lewis, J., Cai, W., Ionascu, D., & Williams, C. (2020). Quantifying day-to-day variations in 4DCBCT-based PCA motion models. Biomedical Physics & Engineering Express, 6(3), 035020.

Khellaf, F., Krah, N., Létang, J. M., & Rit, S. (2020). 2D directional ramp filter. Physics in Medicine & Biology, 65(8), 08NT01.

Collins-Fekete, C.-A., Dikaios, N., Royle, G., & Evans, P. M. (2020). Statistical limitations in proton imaging. Physics in Medicine & Biology, 65(8), 085011.

Kostenko, A., Palenstijn, W. J., Coban, S. B., Hendriksen, A. A., van Liere, R., & Batenburg, K. J. (2020). Prototyping X-ray tomographic reconstruction pipelines with FleXbox. SoftwareX, 11, 100364.

Konopka, J. K., Poinapen, D., Gariepy, T., Holdsworth, D. W., & McNeil, J. N. (2020). Timing of failed parasitoid development in Halyomorpha halys eggs. Biological Control, 141, 104124.

Soubies, E., Soulez, F., McCann, M. T., Pham, T., Donati, L., Debarre, T., Sage, D., & Unser, M. (2019). Pocket guide to solve inverse problems with GlobalBioIm. Inverse Problems, 35(10), 104006.

Shieh, C., Gonzalez, Y., Li, B., Jia, X., Rit, S., Mory, C., Riblett, M., Hugo, G., Zhang, Y., Jiang, Z., Liu, X., Ren, L., & Keall, P. (2019). SPARE: Sparse‐view reconstruction challenge for 4D cone‐beam CT from a 1‐min scan. Medical Physics, 46(9), 3799–3811. Portico.

Reynolds, T., Shieh, C., Keall, P. J., & O’Brien, R. T. (2019). Dual cardiac and respiratory gated thoracic imaging via adaptive gantry velocity and projection rate modulation on a linear accelerator: A Proof‐of‐Concept Simulation Study. Medical Physics, 46(9), 4116–4126. Portico.

Pfeiffer, T., Frysch, R., Bismark, R. N., & Rose, G. (2019). CTL: modular open-source C++-library for CT-simulations. 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine.

Iuso, D., Frysch, R., Pfeiffer, T., & Rose, G. (2019). Analysis of scatter artifacts in cone-beam CT due to scattered radiation of metallic objects. 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine.

Krah, N., & Rit, S. (2019). Optimized conversion from CT numbers to proton relative stopping power based on proton radiography and scatter corrected cone-beam CT images. 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine.

Riblett, M. J., Christensen, G. E., Weiss, E., & Hugo, G. D. (2018). Data‐driven respiratory motion compensation for four‐dimensional cone‐beam computed tomography (4D‐CBCT) using groupwise deformable registration. Medical Physics, 45(10), 4471–4482. Portico.

Landry, G., Dörringer, F., Si‐Mohamed, S., Douek, P., Abascal, J. F. P. J., Peyrin, F., Almeida, I. P., Verhaegen, F., Rinaldi, I., Parodi, K., & Rit, S. (2019). Technical Note: Relative proton stopping power estimation from virtual monoenergetic images reconstructed from dual‐layer computed tomography. Medical Physics, 46(4), 1821–1828. Portico.

Madesta, F., Gauer, T., Sentker, T., & Werner, R. (2019). Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction. Medical Imaging 2019: Image Processing.

Landry, G., Hansen, D., Kamp, F., Li, M., Hoyle, B., Weller, J., Parodi, K., Belka, C., & Kurz, C. (2019). Comparing Unet training with three different datasets to correct CBCT images for prostate radiotherapy dose calculations. Physics in Medicine & Biology, 64(3), 035011.

Cooper, B. J., O’Brien, R. T., Shieh, C.-C., & Keall, P. J. (2019). Real-time respiratory triggered four dimensional cone-beam CT halves imaging dose compared to conventional 4D CBCT. Physics in Medicine & Biology, 64(7), 07NT01.

Fournier, D. E., Norley, C. J. D., Pollmann, S. I., Bailey, C. S., Al Helal, F., Willmore, K. E., Holdsworth, D. W., Dixon, S. J., & Séguin, C. A. (2019). Ectopic spinal calcification associated with diffuse idiopathic skeletal hyperostosis (DISH): A quantitative micro‐ct analysis. Journal of Orthopaedic Research, 37(3), 717–726. Portico.

Schyns, L. E., Eekers, D. B., van der Heyden, B., Almeida, I. P., Vaniqui, A., & Verhaegen, F. (2019). Murine vs human tissue compositions: implications of using human tissue compositions for photon energy absorption in mice. The British Journal of Radiology, 92(1095), 20180454.

Brun, F. (2018). From Projections to the 3D Analysis of the Regenerated Tissue. Fundamental Biomedical Technologies, 69–90.

Niepel, K., Kamp, F., Kurz, C., Hansen, D., Rit, S., Neppl, S., Hofmaier, J., Bondesson, D., Thieke, C., Dinkel, J., Belka, C., Parodi, K., & Landry, G. (2019). Feasibility of 4DCBCT-based proton dose calculation: An ex vivo porcine lung phantom study. Zeitschrift Für Medizinische Physik, 29(3), 249–261.

Vaniqui, A., Schyns, L. E. J. R., Almeida, I. P., van der Heyden, B., Podesta, M., & Verhaegen, F. (2019). The effect of different image reconstruction techniques on pre-clinical quantitative imaging and dual-energy CT. The British Journal of Radiology, 92(1095), 20180447.

Merlin, T., Stute, S., Benoit, D., Bert, J., Carlier, T., Comtat, C., Filipovic, M., Lamare, F., & Visvikis, D. (2018). CASToR: a generic data organization and processing code framework for multi-modal and multi-dimensional tomographic reconstruction. Physics in Medicine & Biology, 63(18), 185005.

Hansen, D. C., Landry, G., Kamp, F., Li, M., Belka, C., Parodi, K., & Kurz, C. (2018). ScatterNet: A convolutional neural network for cone‐beam CT intensity correction. Medical Physics, 45(11), 4916–4926. Portico.

van der Heyden, B., Podesta, M., Eekers, D. B., Vaniqui, A., Almeida, I. P., Schyns, L. E., van Hoof, S. J., & Verhaegen, F. (2019). Automatic multiatlas based organ at risk segmentation in mice. The British Journal of Radiology, 92(1095), 20180364.

Rodriguez-Alvarez, M. J., Sanchez, F., Soriano, A., Moliner, L., Sanchez, S., & Benlloch, J. (2018). QR-Factorization Algorithm for Computed Tomography (CT): Comparison With FDK and Conjugate Gradient (CG) Algorithms. IEEE Transactions on Radiation and Plasma Medical Sciences, 2(5), 459–469.

Kim, J., Park, Y.-K., Edmunds, D., Oh, K., Sharp, G. C., & Winey, B. (2018). Kilovoltage projection streaming-based tracking application (KiPSTA): First clinical implementation during spine stereotactic radiation surgery. Advances in Radiation Oncology, 3(4), 682–692.

Castonguay-Henri, A., Matenine, D., Schmittbuhl, M., & de Guise, J. A. (2018). Image Quality Optimization and Soft Tissue Visualization in Cone-Beam CT Imaging. World Congress on Medical Physics and Biomedical Engineering 2018, 283–288.

van der Heyden, B., Schyns, L. E. J. R., Podesta, M., Vaniqui, A., Almeida, I. P., Landry, G., & Verhaegen, F. (2018). VOXSI: A voxelized single- and dual-energy CT scenario generator for quantitative imaging. Physics and Imaging in Radiation Oncology, 6, 47–52.

Cajgfinger, T., Rit, S., Létang, J. M., Halty, A., & Sarrut, D. (2018). Fixed forced detection for fast SPECT Monte-Carlo simulation. Physics in Medicine & Biology, 63(5), 055011.

Tisseur, D., Bhatia, N., Estre, N., Berge, L., Eck, D., & Payan, E. (2018). Evaluation of a scattering correction method for high energy tomography. EPJ Web of Conferences, 170, 06006.

Liu, Yu. (2017). Improve Industrial Cone-Beam Computed Tomography by Integrating Prior Information [ETH Zurich].

Jensen, K. R., Brink, C., Hansen, O., & Bernchou, U. (2017). Ventilation measured on clinical 4D-CBCT: Increased ventilation accuracy through improved image quality. Radiotherapy and Oncology, 125(3), 459–463.

Lesaint, J., Rit, S., Clackdoyle, R., & Desbat, L. (2017). Calibration for Circular Cone-Beam CT Based on Consistency Conditions. IEEE Transactions on Radiation and Plasma Medical Sciences, 1(6), 517–526.

Zöllner, C., Rit, S., Kurz, C., Vilches-Freixas, G., Kamp, F., Dedes, G., Belka, C., Parodi, K., & Landry, G. (2017). Decomposing a prior-CT-based cone-beam CT projection correction algorithm into scatter and beam hardening components. Physics and Imaging in Radiation Oncology, 3, 49–52.

Perez Juste Abascal, J. F., Abella, M., Mory, C., de Molina, C., Ducros, N., Marinetto, E., Peyrin, F., & Desco, M. (2017). Sparse reconstruction methods in x-ray CT. Developments in X-Ray Tomography XI.

Després, P., & Jia, X. (2017). A review of GPU-based medical image reconstruction. Physica Medica, 42, 76–92.

Vilches-Freixas, G., Taasti, V. T., Muren, L. P., Petersen, J. B. B., Létang, J. M., Hansen, D. C., & Rit, S. (2017). Comparison of projection- and image-based methods for proton stopping power estimation using dual energy CT. Physics and Imaging in Radiation Oncology, 3, 28–36.

WEBER, L., HÄNSCH, A., WOLFRAM, U., PACUREANU, A., CLOETENS, P., PEYRIN, F., RIT, S., & LANGER, M. (2017). Registration of phase‐contrast images in propagation‐based X‐ray phase tomography. Journal of Microscopy, 269(1), 36–47. Portico.

Vilches‐Freixas, G., Létang, J. M., Ducros, N., & Rit, S. (2017). Optimization of dual‐energy CT acquisitions for proton therapy using projection‐based decomposition. Medical Physics, 44(9), 4548–4558. Portico.

Clackdoyle, R., Noo, F., Momey, F., Desbat, L., & Rit, S. (2017). Accurate Transaxial Region-of-Interest Reconstruction in Helical CT? IEEE Transactions on Radiation and Plasma Medical Sciences, 1(4), 334–345.

O’Brien, R. T., Stankovic, U., Sonke, J.-J., & Keall, P. J. (2017). Reducing 4DCBCT imaging time and dose: the first implementation of variable gantry speed 4DCBCT on a linear accelerator. Physics in Medicine and Biology, 62(11), 4300–4317.

Park, S., Kim, S., Yi, B., Hugo, G., Gach, H. M., & Motai, Y. (2017). A Novel Method of Cone Beam CT Projection Binning Based on Image Registration. IEEE Transactions on Medical Imaging, 36(8), 1733–1745.

Shieh, C.-C., Caillet, V., Dunbar, M., Keall, P. J., Booth, J. T., Hardcastle, N., Haddad, C., Eade, T., & Feain, I. (2017). A Bayesian approach for three-dimensional markerless tumor tracking using kV imaging during lung radiotherapy. Physics in Medicine and Biology, 62(8), 3065–3080.

Chen, H., Rottmann, J., Yip, S. S., Morf, D., Füglistaller, R., Star-Lack, J., Zentai, G., & Berbeco, R. (2017). Super-resolution imaging in a multiple layer EPID. Biomedical Physics & Engineering Express, 3(2), 025004.

Varray, F., Mirea, I., Langer, M., Peyrin, F., Fanton, L., & Magnin, I. E. (2017). Extraction of the 3D local orientation of myocytes in human cardiac tissue using X-ray phase-contrast micro-tomography and multi-scale analysis. Medical Image Analysis, 38, 117–132.

Thing, R. S., Bernchou, U., Hansen, O., & Brink, C. (2017). Accuracy of dose calculation based on artefact corrected Cone Beam CT images of lung cancer patients. Physics and Imaging in Radiation Oncology, 1, 6–11.

Veiga, C., Janssens, G., Baudier, T., Hotoiu, L., Brousmiche, S., McClelland, J., Teng, C.-L., Yin, L., Royle, G., & Teo, B.-K. K. (2017). A comprehensive evaluation of the accuracy of CBCT and deformable registration based dose calculation in lung proton therapy. Biomedical Physics & Engineering Express, 3(1), 015003.

Keuschnigg, P., Kellner, D., Fritscher, K., Zechner, A., Mayer, U., Huber, P., Sedlmayer, F., Deutschmann, H., & Steininger, P. (2017). Nine‐degrees‐of‐freedom flexmap for a cone‐beam computed tomography imaging device with independently movable source and detector. Medical Physics, 44(1), 132–142. Portico.

Collins-Fekete, C.-A., Brousmiche, S., Portillo, S. K. N., Beaulieu, L., & Seco, J. (2016). A maximum likelihood method for high resolution proton radiography/proton CT. Physics in Medicine and Biology, 61(23), 8232–8248.

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