Analysing the integration of MR images acquired in a non-radiotherapy treatment position into the radiotherapy workflow using deformable and rigid registration

Rasch, 1999, Definition of the prostate in CT and MRI: a multi-observer study, Int J Radiat Oncol Biol Phys, 43, 57, 10.1016/S0360-3016(98)00351-4 Villeirs, 2005, Interobserver delineation variation using CT versus combined CT + MRI in intensity-modulated radiotherapy for prostate cancer, Strahlenther Onkol, 181, 424, 10.1007/s00066-005-1383-x Liney, 2014, Magnetic resonance imaging acquisition techniques for radiotherapy planning, Semin Radiat Oncol, 24, 160, 10.1016/j.semradonc.2014.02.014 Dirix, 2014, The value of magnetic resonance imaging for radiotherapy planning, Semin Radiat Oncol, 24, 151, 10.1016/j.semradonc.2014.02.003 Kessler, 2006, Image registration and data fusion in radiation therapy, Br J Radiol, 79, 10.1259/bjr/70617164 Devic, 2012, MRI simulation for radiotherapy treatment planning, Med Phys, 39, 6701, 10.1118/1.4758068 Hanvey, 2012, The influence of MRI scan position on image registration accuracy, target delineation and calculated dose in prostatic radiotherapy, Br J Radiol, 85, e1256, 10.1259/bjr/26802977 Hanvey, 2013, The influence of MRI scan position on patients with oropharyngeal cancer undergoing radical radiotherapy, Radiat Oncol, 8, 129, 10.1186/1748-717X-8-129 Fedorov, 2012, 3D Slicer as an image computing platform for the quantitative imaging network, Magn Reson Imaging, 30, 1323, 10.1016/j.mri.2012.05.001 Sabater, 2013, Dose accumulation during vaginal cuff brachytherapy based on rigid/deformable registration vs. single plan addition, Brachytherapy, 13, 343, 10.1016/j.brachy.2013.11.006 Hanna, 2010, Geometrical analysis of radiotherapy target volume delineation: a systematic review of reported comparison methods, Clin Oncol (R Coll Radiol), 22, 515, 10.1016/j.clon.2010.05.006 Zijdenbos, 1994, Morphometric analysis of white matter lesions in MR images: method and validation, IEEE Trans Med Imaging, 13, 716, 10.1109/42.363096 Yoon, 2007, A new homogeneity index based on statistical analysis of the dose-volume histogram, J Appl Clin Med Phys, 8, 9, 10.1120/jacmp.v8i2.2390 Eiland, 2014, Dosimetric and geometric evaluation of the use of deformable image registration in adaptive intensity-modulated radiotherapy for head-and-neck cancer, J Radiat Res, 55, 1002, 10.1093/jrr/rru044 Low, 2003, Evaluation of the gamma dose distribution comparison method, Med Phys, 30, 2455, 10.1118/1.1598711 Karlsson, 2009, Dedicated magnetic resonance imaging in the radiotherapy clinic, Int J Radiat Oncol Biol Phys, 74, 644, 10.1016/j.ijrobp.2009.01.065 Thornqvist, 2010, Propagation of target and organ at risk contours in radiotherapy of prostate cancer using deformable image registration, Acta Oncol, 49, 1023, 10.3109/0284186X.2010.503662 Thor, 2011, Deformable image registration for contour propagation from CT to cone-beam CT scans in radiotherapy of prostate cancer, Acta Oncol, 50, 918, 10.3109/0284186X.2011.577806 Kagawa, 1997, Initial clinical assessment of CT-MRI image fusion software in localization of the prostate for 3D conformal radiation therapy, Int J Radiat Oncol Biol Phys, 38, 319, 10.1016/S0360-3016(96)00620-7 Thor, 2013, Dose/volume-based evaluation of the accuracy of deformable image registration for the rectum and bladder, Acta Oncol, 52, 1411, 10.3109/0284186X.2013.814151 Godley, 2012, Accumulating daily-varied dose distributions of prostate radiation therapy with soft-tissue-based kV CT guidance, J Appl Clin Med Phys, 13, 3859, 10.1120/jacmp.v13i3.3859 Jonsson, 2011, Registration accuracy for MR images of the prostate using a subvolume based registration protocol, Radiat Oncol, 6, 73, 10.1186/1748-717X-6-73 Fortunati, 2014, Feasibility of multimodal deformable registration for head and neck tumor treatment planning, Int J Radiat Oncol Biol Phys, 90, 85, 10.1016/j.ijrobp.2014.05.027 Leibfarth, 2013, A strategy for multimodal deformable image registration to integrate PET/MR into radiotherapy treatment planning, Acta Oncol, 52, 1353, 10.3109/0284186X.2013.813964 Kadoya, 2014, Evaluation of various deformable image registration algorithms for thoracic images, J Radiat Res, 55, 175, 10.1093/jrr/rrt093 Ibañez, 2003 Fedorov, 2012, Image registration for targeted MRI-guided transperineal prostate biopsy, J Magn Reson Imaging, 36, 987, 10.1002/jmri.23688 Fedorov, 2015, Open-source image registration for MRI-TRUS fusion-guided prostate interventions, Int J Comput Assist Radiol Surg, 10, 925, 10.1007/s11548-015-1180-7 Huisman, 2005, Prostate cancer: precision of integrating functional MR imaging with radiation therapy treatment by using fiducial gold markers, Radiology, 236, 311, 10.1148/radiol.2361040560 Elhawary, 2010, Multimodality non-rigid image registration for planning, targeting and monitoring during CT-guided percutaneous liver tumor cryoablation, Acad Radiol, 17, 1334, 10.1016/j.acra.2010.06.004 Oguro, 2009, MRI signal intensity based B-spline nonrigid registration for pre- and intraoperative imaging during prostate brachytherapy, J Magn Reson Imaging, 30, 1052, 10.1002/jmri.21955 Klein, 2013, Oncology scan – improvements in dose calculation, deformable registration, and MR-guided radiation delivery, Int J Radiat Oncol Biol Phys, 86, 395, 10.1016/j.ijrobp.2013.02.017 Foskey, 2005, Large deformation three-dimensional image registration in image-guided radiation therapy, Phys Med Biol, 50, 5869, 10.1088/0031-9155/50/24/008 Nithiananthan, 2012, Extra-dimensional demons: a method for incorporating missing tissue in deformable image registration, Med Phys, 39, 5718, 10.1118/1.4747270 Schultheiss, 2012, Point/counterpoint: it is not appropriate to “deform” dose along with deformable image registration in adaptive radiotherapy, Med Phys, 39, 6531, 10.1118/1.4722968 Paulson, 2015, Comprehensive MRI simulation methodology using a dedicated MRI scanner in radiation oncology for external beam radiation treatment planning, Med Phys, 42, 28, 10.1118/1.4896096