PT Journal
AU Debora Gil
   Aura Hernandez-Sabate
   Oriol Rodriguez
   Josepa Mauri
   Petia Radeva
TI Statistical Strategy for Anisotropic Adventitia Modelling in IVUS
SO IEEE Transactions on Medical Imaging
PY 2006
BP 768
EP 778
VL 25
IS 6
DI 10.1109/TMI.2006.874962
DE Corners; T-junctions; Wavelets
AB 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.
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