Feasibility study of automated framework for estimating @entity2 locations for target-based XXXX positioning in stereotactic body radiotherapy.

@entity5 @entity1 @entity2 @entity2383
Objective. To investigate the feasibility of an automated framework for estimating the @entity2 locations for @entity5 -based @entity1 positioning with megavolt-cone-beam computed tomography (MV-CBCT) during stereotactic body radiotherapy (SBRT). Methods. A lung screening phantom and ten @entity2 cases with solid @entity2 , who were treated with SBRT, were employed to this study. The locations of @entity5 in MV-CBCT images were estimated using a @entity5 -template matching technique between a @entity5 template and the MV-CBCT. Tumor templates were produced by cropping the gross @entity5 volume (GTV) regions, which were enhanced by a Sobel filter or a @entity2383 ( @entity2383 ) filter. @entity5 locations (grand truth) were determined based on a consensus between a radiation oncologist and a medical physicist. Results. According to the results of the phantom study, the average Euclidean distances of the location errors in the original, Sobel-filtered, and @entity2383 -filtered images were 2.0    4.1   mm, 12.8    9.4   mm, and 0.4    0.5   mm, respectively. For clinical cases, these were 3.4    7.1   mm, 7.2    11.6   mm, and 1.6    1.2   mm, respectively. Conclusion. The feasibility study suggests that our proposed framework based on the @entity2383 filter may be a useful tool for @entity5 -based @entity1 positioning in SBRT.
