Logo image
A motion-compensated image filter for low-dose fluoroscopy in a real-time tumor-tracking radiotherapy system
期刊文章   同儕審查

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

Naoki Miyamoto, Masayori Ishikawa, Kenneth Sutherland, Ryusuke Suzuki, Taeko Matsuura, Chie Toramatsu, Seishin Takao, Hideaki Nihongi, Shinichi Shimizu, Kikuo Umegaki, …
Journal of radiation research, 卷.56(1), 頁碼.186-196
01/01/2015
PMID: 25129556
Web of Science ID: WOS:000350245600021

摘要

Artifacts Computer Systems Fiducial Markers Fluoroscopy - instrumentation Fluoroscopy - methods Humans Image Enhancement - instrumentation Image Enhancement - methods Motion Neoplasms - diagnostic imaging Neoplasms - radiotherapy Phantoms, Imaging Radiation Dosage Radiation Protection - instrumentation Radiation Protection - methods Radiotherapy, Image-Guided - instrumentation Radiotherapy, Image-Guided - methods Reproducibility of Results Respiratory Mechanics Respiratory-Gated Imaging Techniques - methods Sensitivity and Specificity Signal Processing, Computer-Assisted
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.

檔案與連結 (1)

url
https://doi.org/10.1093/jrr/rru069檢視
已出版(紀錄版本) 開放

相關連結

詳細資料

Logo image