TY  - JOUR
AU  - Debora Gil
AU  - Aura Hernandez-Sabate
AU  - Oriol Rodriguez
AU  - Josepa Mauri
AU  - Petia Radeva
PY  - 2006//
TI  - Statistical Strategy for Anisotropic Adventitia Modelling in IVUS
JO  - IEEE Transactions on Medical Imaging
SP  - 768
EP  - 778
VL  - 25
IS  - 6
KW  - Corners
KW  - T-junctions
KW  - Wavelets
N2  - Vessel plaque assessment by analysis of intravascular ultrasound sequences is a useful tool for cardiac disease diagnosis and intervention. Manual detection of luminal (inner) and mediaadventitia (external) vessel borders is the main activity of physicians in the process of lumen narrowing (plaque) quantification. Difficult definition of vessel border descriptors, as well as, shades, artifacts, and blurred signal response due to ultrasound physical properties trouble automated adventitia segmentation. In order to efficiently approach such a complex problem, we propose blending advanced anisotropic filtering operators and statistical classification techniques into a vessel border modelling strategy. Our systematic statistical analysis shows that the reported adventitia detection achieves an accuracy in the range of interobserver variability regardless of plaque nature, vessel geometry, and incomplete vessel borders. Index Terms–-Anisotropic processing, intravascular ultrasound (IVUS), vessel border segmentation, vessel structure classification.
L1  - http://refbase.cvc.uab.es/files/GHR2006.pdf
UR  - http://dx.doi.org/10.1109/TMI.2006.874962
N1  - IAM;MILAB
ID  - Debora Gil2006
ER  -