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

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, Eleon, Tisseur, Doghmane, & Bakhabba. (2022). Boron Coated Straws Imaging Panel Capability for Neutron Emission Computed Tomography for Source Localization inside Radioactive Drums. IEEE Transactions on Nuclear Science, 1–1.

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), 113102.

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.

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, Y. (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.

Kurz, C., Kamp, F., Park, Y.-K., Zöllner, C., Rit, S., Hansen, D., Podesta, M., Sharp, G. C., Li, M., Reiner, M., Hofmaier, J., Neppl, S., Thieke, C., Nijhuis, R., Ganswindt, U., Belka, C., Winey, B. A., Parodi, K., & Landry, G. (2016). Investigating deformable image registration and scatter correction for CBCT-based dose calculation in adaptive IMPT. Medical Physics, 43(10), 5635–5646. Portico.

Mory, C., Janssens, G., & Rit, S. (2016). Motion-aware temporal regularization for improved 4D cone-beam computed tomography. Physics in Medicine and Biology, 61(18), 6856–6877.

Biguri, A., Dosanjh, M., Hancock, S., & Soleimani, M. (2016). TIGRE: a MATLAB-GPU toolbox for CBCT image reconstruction. Biomedical Physics & Engineering Express, 2(5), 055010.

Thing, R. S., Bernchou, U., Mainegra-Hing, E., Hansen, O., & Brink, C. (2016). Hounsfield unit recovery in clinical cone beam CT images of the thorax acquired for image guided radiation therapy. Physics in Medicine and Biology, 61(15), 5781–5802.

O’Brien, R. T., Cooper, B. J., Shieh, C.-C., Stankovic, U., Keall, P. J., & Sonke, J.-J. (2016). The first implementation of respiratory triggered 4DCBCT on a linear accelerator. Physics in Medicine and Biology, 61(9), 3488–3499.

Huang, H.-M., & Hsiao, I.-T. (2016). Accelerating an Ordered-Subset Low-Dose X-Ray Cone Beam Computed Tomography Image Reconstruction with a Power Factor and Total Variation Minimization. PLOS ONE, 11(4), e0153421.

Rit, S., Clackdoyle, R., Keuschnigg, P., & Steininger, P. (2016). Filtered-backprojection reconstruction for a cone-beam computed tomography scanner with independent source and detector rotations. Medical Physics, 43(5), 2344–2352. Portico.

Veiga, C., Janssens, G., Teng, C.-L., Baudier, T., Hotoiu, L., McClelland, J. R., Royle, G., Lin, L., Yin, L., Metz, J., Solberg, T. D., Tochner, Z., Simone, C. B., McDonough, J., & Kevin Teo, B.-K. (2016). First Clinical Investigation of Cone Beam Computed Tomography and Deformable Registration for Adaptive Proton Therapy for Lung Cancer. International Journal of Radiation Oncology*Biology*Physics, 95(1), 549–559.

Ihsani, A., & Farncombe, T. (2016). An Adaptation of the Distance Driven Projection Method for Single Pinhole Collimators in SPECT Imaging. IEEE Transactions on Nuclear Science, 63(1), 140–150.

Hoffman, J., Young, S., Noo, F., & McNitt‐Gray, M. (2016). Technical Note: FreeCT_wFBP: A robust, efficient, open‐source implementation of weighted filtered backprojection for helical, fan‐beam CT. Medical Physics, 43(3), 1411–1420. Portico.

Cai, W., Dhou, S., Cifter, F., Myronakis, M., Hurwitz, M. H., Williams, C. L., Berbeco, R. I., Seco, J., & Lewis, J. H. (2015). 4D cone beam CT-based dose assessment for SBRT lung cancer treatment. Physics in Medicine and Biology, 61(2), 554–568.

Shieh, C.-C., Keall, P. J., Kuncic, Z., Huang, C.-Y., & Feain, I. (2015). Markerless tumor tracking using short kilovoltage imaging arcs for lung image-guided radiotherapy. Physics in Medicine and Biology, 60(24), 9437–9454.

Shkarin, A., Ametova, E., Chilingaryan, S., Dritschler, T., Kopmann, A., Vogelgesang, M., Shkarin, R., & Tsapko, S. (2015). An Open Source GPU Accelerated Framework for Flexible Algebraic Reconstruction at Synchrotron Light Sources. Fundamenta Informaticae, 141(2–3), 259–274.

Bernchou, U., Hansen, O., Schytte, T., Bertelsen, A., Hope, A., Moseley, D., & Brink, C. (2015). Prediction of lung density changes after radiotherapy by cone beam computed tomography response markers and pre-treatment factors for non-small cell lung cancer patients. Radiotherapy and Oncology, 117(1), 17–22.

Moreira, A. H. J., Queirós, S., Morais, P., Rodrigues, N. F., Correia, A. R., Fernandes, V., Pinho, A. C. M., Fonseca, J. C., & Vilaça, J. L. (2015). Voxel-based registration of simulated and real patient CBCT data for accurate dental implant pose estimation. Medical Imaging 2015: Computer-Aided Diagnosis.

Beaudry, J., Cropp, R., & Bergman, A. (2015). SU-E-J-153: Reconstructing 4D Cone Beam CT Images for Clinical QA of Lung SABR Treatments. Medical Physics, 42(6Part9), 3300–3300. Portico.

Park, Y., Sharp, G. C., Phillips, J., & Winey, B. A. (2015). Proton dose calculation on scatter‐corrected CBCT image: Feasibility study for adaptive proton therapy. Medical Physics, 42(8), 4449–4459. Portico.

Dhou, S., Hurwitz, M., Mishra, P., Cai, W., Rottmann, J., Li, R., Williams, C., Wagar, M., Berbeco, R., Ionascu, D., & Lewis, J. H. (2015). 3D fluoroscopic image estimation using patient-specific 4DCBCT-based motion models. Physics in Medicine and Biology, 60(9), 3807–3824.

Fassi, A., Schaerer, J., Riboldi, M., Sarrut, D., & Baroni, G. (2015). An image-based method to synchronize cone-beam CT and optical surface tracking. Journal of Applied Clinical Medical Physics, 16(2), 117–128. Portico.

Shieh, C.-C., Kipritidis, J., O’Brien, R. T., Cooper, B. J., Kuncic, Z., & Keall, P. J. (2015). Improving thoracic four-dimensional cone-beam CT reconstruction with anatomical-adaptive image regularization (AAIR). Physics in Medicine and Biology, 60(2), 841–868.

Cazoulat, G., Simon, A., Dumenil, A., Gnep, K., de Crevoisier, R., Acosta, O., & Haigron, P. (2014). Surface-Constrained Nonrigid Registration for Dose Monitoring in Prostate Cancer Radiotherapy. IEEE Transactions on Medical Imaging, 33(7), 1464–1474.

Leeser, M., Mukherjee, S., & Brock, J. (2014). Fast reconstruction of 3D volumes from 2D CT projection data with GPUs. BMC Research Notes, 7(1).

Park, Y., Winey, B., & Sharp, G. (2014). SU-E-J-175: Proton Dose Calculation On Scatter-Corrected CBCT Image: Feasibility Study for Adaptive Proton Therapy. Medical Physics, 41(6Part9), 197–197. Portico.

Shieh, C.-C., Kipritidis, J., O’Brien, R. T., Kuncic, Z., & Keall, P. J. (2014). Image quality in thoracic 4D cone-beam CT: A sensitivity analysis of respiratory signal, binning method, reconstruction algorithm, and projection angular spacing. Medical Physics, 41(4), 041912. Portico.

Mory, C., Auvray, V., Zhang, B., Grass, M., Schäfer, D., Chen, S. J., Carroll, J. D., Rit, S., Peyrin, F., Douek, P., & Boussel, L. (2014). Cardiac C-arm computed tomography using a 3D + time ROI reconstruction method with spatial and temporal regularization. Medical Physics, 41(2), 021903. Portico.

Wang, M., Sharp, G. C., Rit, S., Delmon, V., & Wang, G. (2014). 2D/4D marker-free tumor tracking using 4D CBCT as the reference image. Physics in Medicine and Biology, 59(9), 2219–2233.

Rit, S., Dedes, G., Freud, N., Sarrut, D., & Létang, J. M. (2013). Filtered backprojection proton CT reconstruction along most likely paths. Medical Physics, 40(3), 031103. Portico.

Delmon, V., Vandemeulebroucke, J., Pinho, R., Vila Oliva, M., Sarrut, D., & Rit, S. (2014). In-room breathing motion estimation from limited projection views using a sliding deformation model. Journal of Physics: Conference Series, 489, 012026.

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