title: Dynamic layer separation for coronary DSA and enhancement in fluoroscopic sequences.
abstract: This paper presents a new technique of coronary digital subtraction angiography which separates layers of moving background structures from dynamic fluoroscopic sequences of the heart and obtains moving layers of coronary arteries. A Bayeisan framework combines dense motion estimation, uncertainty propagation and statistical fusion to achieve reliable background layer estimation and motion compensation for coronary sequences. Encouraging results have been achieved on clinically acquired coronary sequences, where the proposed method considerably improves the visibility and perceptibility of coronary arteries undergoing breathing and cardiac movements. Perceptibility improvement is significant especially for very thin vessels. Clinical benefit is expected in the context of obese patients and deep angulation, as well as in the reduction of contrast dose in normal size patients.
authors.affiliation: Siemens Corporate Research Inc., Princeton, NJ, USA. yingzhu@siemens.com
authors.forename: Ying
authors.initials: Y
authors.lastname: Zhu
authors.forename: Simone
authors.initials: S
authors.lastname: Prummer
authors.forename: Peng
authors.initials: P
authors.lastname: Wang
authors.forename: Terrence
authors.initials: T
authors.lastname: Chen
authors.forename: Dorin
authors.initials: D
authors.lastname: Comaniciu
authors.forename: Martin
authors.initials: M
authors.lastname: Ostermeier
mesh_terms: D000465:Algorithms; D015901:Angiography, Digital Subtraction / Q000379:methods*; D001185:Artificial Intelligence; D017023:Coronary Angiography / Q000379:methods*; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique