title: Three-dimensional segmentation of luminal and adventitial borders in serial intravascular ultrasound images.
abstract: Intravascular ultrasound (IVUS) provides exact anatomy of arteries, allowing accurate quantitative analysis. Automated segmentation of IVUS images is a prerequisite for routine quantitative analyses. We present a new three-dimensional (3D) segmentation technique, called active surface segmentation, which detects luminal and adventitial borders in IVUS pullback examinations of coronary arteries. The technique was validated against expert tracings by computing correlation coefficients (range 0.83-0.97) and William's index values (range 0.37-0.66). The technique was statistically accurate, robust to image artifacts, and capable of segmenting a large number of images rapidly. Active surface segmentation enabled geometrically accurate 3D reconstruction and visualization of coronary arteries and volumetric measurements.
authors.affiliation: Department of Biomedical Engineering, The Lerner Research Institute, The Cleveland Clinic Foundation, OH, USA. shekhar@bme.ri.ccf.org
authors.forename: R
authors.initials: R
authors.lastname: Shekhar
authors.forename: R M
authors.initials: RM
authors.lastname: Cothren
authors.forename: D G
authors.initials: DG
authors.lastname: Vince
authors.forename: S
authors.initials: S
authors.lastname: Chandra
authors.forename: J D
authors.initials: JD
authors.lastname: Thomas
authors.forename: J F
authors.initials: JF
authors.lastname: Cornhill
mesh_terms: D000465:Algorithms; D003331:Coronary Vessels / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D066298:In Vitro Techniques; D008955:Models, Cardiovascular; D012044:Regression Analysis; D018084:Ultrasonography, Interventional