TY  - JOUR
AU  - Francesco Ciompi
AU  - Oriol Pujol
AU  - Carlo Gatta
AU  - Marina Alberti
AU  - Simone Balocco
AU  - Xavier Carrillo
AU  - J. Mauri
AU  - Petia Radeva
PY  - 2012//
TI  - HoliMab: A Holistic Approach for Media-Adventitia Border Detection in Intravascular Ultrasound
T2  - MIA
JO  - Medical Image Analysis
SP  - 1085
EP  - 1100
VL  - 16
IS  - 6
KW  - Media–Adventitia border detection
KW  - Intravascular ultrasound
KW  - Multi-Scale Stacked Sequential Learning
KW  - Error-correcting output codes
KW  - Holistic segmentation
N2  - 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.
UR  - http://dx.doi.org/10.1016/j.media.2012.06.008
N1  - MILAB;HuPBA
ID  - Francesco Ciompi2012
ER  -