title: HoliMAb: a holistic approach for Media-Adventitia border detection in intravascular ultrasound.
abstract: We present a fully automatic methodology for the detection of the Media-Adventitia border (MAb) in human coronary artery in Intravascular Ultrasound (IVUS) images. A robust border detection is achieved by means of a holistic interpretation of the detection problem where the target object, i.e. the media layer, is considered as part of the whole vessel in the image and all the relationships between tissues are learnt. A fairly general framework exploiting multi-class tissue characterization as well as contextual information on the morphology and the appearance of the tissues is presented. The methodology is (i) validated through an exhaustive comparison with both Inter-observer variability on two challenging databases and (ii) compared with state-of-the-art methods for the detection of the MAb in IVUS. The obtained averaged values for the mean radial distance and the percentage of area difference are 0.211 mm and 10.1%, respectively. The applicability of the proposed methodology to clinical practice is also discussed.
authors.affiliation: Department of Applied Mathematics and Analysis, University of Barcelona, Barcelona, Spain. fciompi@maia.ub.es
authors.forename: Francesco
authors.initials: F
authors.lastname: Ciompi
authors.forename: Oriol
authors.initials: O
authors.lastname: Pujol
authors.forename: Carlo
authors.initials: C
authors.lastname: Gatta
authors.forename: Marina
authors.initials: M
authors.lastname: Alberti
authors.forename: Simone
authors.initials: S
authors.lastname: Balocco
authors.forename: Xavier
authors.initials: X
authors.lastname: Carrillo
authors.forename: Josepa
authors.initials: J
authors.lastname: Mauri-Ferre
authors.forename: Petia
authors.initials: P
authors.lastname: Radeva
mesh_terms: D063194:Adventitia / Q000000981:diagnostic imaging*; D000465:Algorithms; D001185:Artificial Intelligence; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging*; D003331:Coronary Vessels / Q000000981:diagnostic imaging*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D017540:Tunica Media / Q000000981:diagnostic imaging*; D018084:Ultrasonography, Interventional / Q000379:methods*