Publications

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. doi:10.1088/1742-6596/489/1/012079

The following articles have used and cited RTK

Shieh, C.-C., Caillet, V., Dunbar, M., Keall, P. J., Booth, J. T., Hardcastle, N., … 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. doi:10.1088/1361-6560/aa6393

Chen, H., Rottmann, J., Yip, S. S., Morf, D., Füglistaller, R., Star-Lack, J., … Berbeco, R. (2017). Super-resolution imaging in a multiple layer EPID. Biomedical Physics & Engineering Express, 3(2), 025004. doi:10.1088/2057-1976/aa5d20

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. doi:10.1016/j.media.2017.02.006

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. doi:10.1016/j.phro.2016.11.001

Veiga, C., Janssens, G., Baudier, T., Hotoiu, L., Brousmiche, S., McClelland, J., … 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. doi:10.1088/2057-1976/3/1/015003

Keuschnigg, P., Kellner, D., Fritscher, K., Zechner, A., Mayer, U., Huber, P., … 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. doi:10.1002/mp.12033

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. doi:10.1088/0031-9155/61/23/8232

Kurz, C., Kamp, F., Park, Y.-K., Zöllner, C., Rit, S., Hansen, D., … Landry, G. (2016). Investigating deformable image registration and scatter correction for CBCT-based dose calculation in adaptive IMPT. Medical Physics, 43(10), 5635–5646. doi:10.1118/1.4962933

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. doi:10.1088/0031-9155/61/18/6856

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. doi:10.1088/2057-1976/2/5/055010

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. doi:10.1088/0031-9155/61/15/5781

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. doi:10.1088/0031-9155/61/9/3488

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. doi:10.1371/journal.pone.0153421

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. doi:10.1118/1.4945418

Veiga, C., Janssens, G., Teng, C.-L., Baudier, T., Hotoiu, L., McClelland, J. R., … 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. doi:10.1016/j.ijrobp.2016.01.055

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. doi:10.1109/tns.2015.2504405

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. doi:10.1118/1.4941953

Cai, W., Dhou, S., Cifter, F., Myronakis, M., Hurwitz, M. H., Williams, C. L., … 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. doi:10.1088/0031-9155/61/2/554

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. doi:10.1088/0031-9155/60/24/9437

[1]Andrei Shkarin et al., “An Open Source GPU Accelerated Framework for Flexible Algebraic Reconstruction at Synchrotron Light Sources,” FI, vol. 141, no. 2–3, pp. 259–274, Oct. 2015.

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. doi:10.1016/j.radonc.2015.07.021

Moreira, A. H. J., Queirós, S., Morais, P., Rodrigues, N. F., Correia, A. R., Fernandes, V., … 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. doi:10.1117/12.2082806

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(6), 3300–3300. doi:10.1118/1.4924238

Park, Y.-K., 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. doi:10.1118/1.4923179

Dhou, S., Hurwitz, M., Mishra, P., Cai, W., Rottmann, J., Li, R., … Lewis, J. H. (2015). 3D fluoroscopic image estimation using patient-specific 4DCBCT-based motion models. Physics in Medicine and Biology, 60(9), 3807–3824. doi:10.1088/0031-9155/60/9/3807

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. doi:10.1120/jacmp.v16i2.5152

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. doi:10.1088/0031-9155/60/2/841

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. doi:10.1109/tmi.2014.2314574

Leeser, M., Mukherjee, S., & Brock, J. (2014). Fast reconstruction of 3D volumes from 2D CT projection data with GPUs. BMC Research Notes, 7(1), 582. doi:10.1186/1756-0500-7-582

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(6), 197–197. doi:10.1118/1.4888228

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. doi:10.1118/1.4868510

Mory, C., Auvray, V., Zhang, B., Grass, M., Schäfer, D., Chen, S. J., … 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. doi:10.1118/1.4860215

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. doi:10.1088/0031-9155/59/9/2219

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. doi:10.1118/1.4789589

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. doi:10.1088/1742-6596/489/1/012026

Martin, J., McClelland, J., Yip, C., Thomas, C., Hartill, C., Ahmad, S., … Hawkes, D. (2013). Building motion models of lung tumours from cone-beam CT for radiotherapy applications. Physics in Medicine and Biology, 58(6), 1809–1822. doi:10.1088/0031-9155/58/6/1809