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A motion-compensated image filter for low-dose fluoroscopy in a real-time tumor-tracking radiotherapy system

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Title: A motion-compensated image filter for low-dose fluoroscopy in a real-time tumor-tracking radiotherapy system
Authors: Miyamoto, Naoki Browse this author →KAKEN DB
Ishikawa, Masayori Browse this author →KAKEN DB
Sutherland, Kenneth Browse this author →KAKEN DB
Suzuki, Ryusuke Browse this author →KAKEN DB
Matsuura, Taeko Browse this author →KAKEN DB
Toramatsu, Chie Browse this author
Takao, Seishin Browse this author →KAKEN DB
Nihongi, Hideaki Browse this author
Shimizu, Shinichi Browse this author →KAKEN DB
Umegaki, Kikuo Browse this author →KAKEN DB
Shirato, Hiroki Browse this author →KAKEN DB
Keywords: respiratory-gated radiotherapy
real-time tracking
respiratory motion
image processing
motion compensation
imaging dose
Issue Date: Jan-2015
Publisher: Oxford University Press
Journal Title: Journal Of Radiation Research
Volume: 56
Issue: 1
Start Page: 186
End Page: 196
Publisher DOI: 10.1093/jrr/rru069
PMID: 25129556
Abstract: In the real-time tumor-tracking radiotherapy system, a surrogate fiducial marker inserted in or near the tumor is detected by fluoroscopy to realize respiratory-gated radiotherapy. The imaging dose caused by fluoroscopy should be minimized. In this work, an image processing technique is proposed for tracing a moving marker in low-dose imaging. The proposed tracking technique is a combination of a motion-compensated recursive filter and template pattern matching. The proposed image filter can reduce motion artifacts resulting from the recursive process based on the determination of the region of interest for the next frame according to the current marker position in the fluoroscopic images. The effectiveness of the proposed technique and the expected clinical benefit were examined by phantom experimental studies with actual tumor trajectories generated from clinical patient data. It was demonstrated that the marker motion could be traced in low-dose imaging by applying the proposed algorithm with acceptable registration error and high pattern recognition score in all trajectories, although some trajectories were not able to be tracked with the conventional spatial filters or without image filters. The positional accuracy is expected to be kept within +/- 2 mm. The total computation time required to determine the marker position is a few milliseconds. The proposed image processing technique is applicable for imaging dose reduction.
Type: article
Appears in Collections:国際連携研究教育局 : GI-CoRE (Global Institution for Collaborative Research and Education : GI-CoRE) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
保健科学院・保健科学研究院 (Graduate School of Health Sciences / Faculty of Health Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 石川 正純

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