title: Image-based respiratory motion compensation for fluoroscopic coronary roadmapping.
abstract: 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.
authors.affiliation: Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540, USA. yingzhu@siemens.com
authors.forename: Ying
authors.initials: Y
authors.lastname: Zhu
authors.forename: Yanghai
authors.initials: Y
authors.lastname: Tsin
authors.forename: Hari
authors.initials: H
authors.lastname: Sundar
authors.forename: Frank
authors.initials: F
authors.lastname: Sauer
mesh_terms: D000465:Algorithms; D016477:Artifacts; D017023:Coronary Angiography / Q000379:methods*; D023921:Coronary Stenosis / Q000000981:diagnostic imaging*; D005471:Fluoroscopy / Q000379:methods*; D006801:Humans; D009068:Movement; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods; D015203:Reproducibility of Results; D015656:Respiratory Mechanics; D055425:Respiratory-Gated Imaging Techniques / Q000379:methods*; D012680:Sensitivity and Specificity