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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Image-Based Respiratory Motion Compensation for Fluoroscopic Coronary Roadmapping
verfasst von : Ying Zhu, Yanghai Tsin, Hari Sundar, Frank Sauer
Erschienen in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
Verlag: Springer Berlin Heidelberg
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We present a new image-based respiratory motion compensation method for coronary roadmapping in fluoroscopic images. A temporal analysis scheme is proposed to identify static structures in the image gradient domain. An extended Lucas-Kanade algorithm involving a weighted sum-of-squared-difference (WSSD) measure is proposed to estimate the soft tissue motion in the presence of static structures. A temporally compositional motion model is used to deal with large image motion incurred by deep breathing. Promising results have been shown in the experiments conducted on clinical data.