2008
DOI: 10.1016/j.ijrobp.2007.11.021
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Validation of Supervised Automated Algorithm for Fast Quantitative Evaluation of Organ Motion on Magnetic Resonance Imaging

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Cited by 10 publications
(8 citation statements)
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“…A large radiation therapy literature documents the mobility of the prostate gland (ie, owing to rectal distension) (19)(20)(21), and the T1prep technique can be prone to motion artifacts owing to the intraacquisition subtraction of data from sequential sequence iterations, as noted in Figs. 3, 4.…”
Section: Discussionmentioning
confidence: 99%
“…A large radiation therapy literature documents the mobility of the prostate gland (ie, owing to rectal distension) (19)(20)(21), and the T1prep technique can be prone to motion artifacts owing to the intraacquisition subtraction of data from sequential sequence iterations, as noted in Figs. 3, 4.…”
Section: Discussionmentioning
confidence: 99%
“…For cine-MRI, intraobserver accuracy of manual prostate motion measurements is 0.5 mm (6). Manual and automated prostate motion measurements exhibit 99.3% agreement within 3 mm (12). Prostate movement was analyzed by the method described by Ghilezan (7): points of interest (POIs) were identified anatomically and tracked in two dimensions on the central sagittal slice of the 60 images in each cine-MRI.…”
Section: Methodsmentioning
confidence: 99%
“…In this study, the template matching algorithm was not optimized to handle large out-of-plane motion, deformation, and/or rotation of tumors. 30 Therefore, whenever these artifacts were not negligible, the template matching algorithm underperformed ( Fig. 6).…”
Section: Discussionmentioning
confidence: 99%
“…20,21 Specifically, template matching has been widely used to track the vascular structures and tumors in the lung with dynamic MR images for various studies in the radiotherapy context. [22][23][24][25][26][27][28][29][30] However, validation of this technique with ground truth established by physicians has rarely been provided. Recently, with the help of manually determined ground truth, Cervino et al validated the superior performance of template matching in tracking the position of vascular structures with cine-MR images of healthy volunteers.…”
Section: Introductionmentioning
confidence: 99%