Prospective analysis of in vivo landmark point-based MRI geometric distortion in head and neck cancer patients scanned in immobilized radiation treatment position: Results of a prospective quality assurance protocol

Mutic, 2014, The ViewRay system: magnetic resonance-guided and controlled radiotherapy, Semin Radiat Oncol, 24, 196, 10.1016/j.semradonc.2014.02.008 Raaymakers, 2011, Integrated megavoltage portal imaging with a 1.5 T MRI linac, Phys Med Biol, 56, N207, 10.1088/0031-9155/56/19/N01 Fallone, 2009, First MR images obtained during megavoltage photon irradiation from a prototype integrated linac-MR system, Med Phys, 36, 2084, 10.1118/1.3125662 Matakos, 2014, Estimation of geometrically undistorted B(0) inhomogeneity maps, Phys Med Biol, 59, 4945, 10.1088/0031-9155/59/17/4945 Hong, 2014, Characteristics of geometric distortion correction with increasing field-of-view in open-configuration MRI, Magn Reson Imaging, 32, 786, 10.1016/j.mri.2014.02.007 Aubry, 2010, Investigation of geometric distortions on magnetic resonance and cone beam computed tomography images used for planning and verification of high-dose rate brachytherapy cervical cancer treatment, Brachytherapy, 9, 266, 10.1016/j.brachy.2009.09.004 Webster, 2009, A novel imaging technique for fusion of high-quality immobilised MR images of the head and neck with CT scans for radiotherapy target delineation, Br J Radiol, 82, 497, 10.1259/bjr/50709041 Weygand, 2016, Spatial precision in magnetic resonance imaging-guided radiation therapy: the role of geometric distortion, Int J Radiat Oncol Biol Phys, 95, 1304, 10.1016/j.ijrobp.2016.02.059 Stanescu, 2012, Characterization of tissue magnetic susceptibility-induced distortions for MRIgRT, Med Phys, 39, 7185, 10.1118/1.4764481 Wang, 2013, Patient-induced susceptibility effect on geometric distortion of clinical brain MRI for radiation treatment planning on a 3T scanner, Phys Med Biol, 58, 465, 10.1088/0031-9155/58/3/465 Jager, 2015, GTV delineation in supraglottic laryngeal carcinoma: interobserver agreement of CT versus CT-MR delineation, Radiat Oncol, 10, 26, 10.1186/s13014-014-0321-4 Ding, 2015, Prospective observer and software-based assessment of magnetic resonance imaging quality in head and neck cancer: should standard positioning and immobilization be required for radiation therapy applications?, Pract Radiat Oncol, 5, e299, 10.1016/j.prro.2014.11.003 Segedin, 2016, Uncertainties in target volume delineation in radiotherapy – are they relevant and what can we do about them?, Radiol Oncol, 50, 254, 10.1515/raon-2016-0023 Hong, 2012, Heterogeneity in head and neck IMRT target design and clinical practice, Radiother Oncol, 103, 92, 10.1016/j.radonc.2012.02.010 Rasch, 2010, Decreased 3D observer variation with matched CT-MRI, for target delineation in Nasopharynx cancer, Radiat Oncol, 5, 21, 10.1186/1748-717X-5-21 Barth, 2015, Diffusion-weighted imaging of the prostate: image quality and geometric distortion of readout-segmented versus selective-excitation accelerated acquisitions, Invest Radiol, 50, 785, 10.1097/RLI.0000000000000184 Verhappen, 2012, Diffusion-weighted MR imaging in head and neck cancer: comparison between half-Fourier acquired single-shot turbo spin-echo and EPI techniques, AJNR Am J Neuroradiol, 33, 1239, 10.3174/ajnr.A2949 Wang, 2004, Geometric distortion in clinical MRI systems Part I: evaluation using a 3D phantom, Magn Reson Imaging, 22, 1211, 10.1016/j.mri.2004.08.012 Port, 2000, Quantification and minimization of magnetic susceptibility artifacts on GRE images, J Comput Assist Tomogr, 24, 958, 10.1097/00004728-200011000-00024