Blood detection in IVUS images for 3D volume of lumen changes measurement due to different drugs administration

Authors:
David Rotger;Petia Radeva;Eduard Fernández-Nofrerías;Josepa Mauri
Affiliations:
Computer Science Department, Autonomous University of Barcelona, Spain and Computer Vision Center, Autonomous University of Barcelona, Spain;Computer Science Department, Autonomous University of Barcelona, Spain and Computer Vision Center, Autonomous University of Barcelona, Spain;University Hospital Germans Trias i Pujol, Spain;University Hospital Germans Trias i Pujol, Spain
Venue:
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Year:
2007

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Abstract

Lumen volume variations is of great interest by the physicians given it reduces the probability of infarction as it increases. In this paper we present a fast and efficient method to detect the lumen borders in longitudinal cuts of IVUS sequences using an AdaBoost classifier trained with several local features assuring their stability. We propose a criterion for feature selection based on stability leave-one-out cross validation. Results on the segmentation of 18 IVUS pullbacks show that the proposed procedure is fast and robust leading to 90% of time reduction with the same characterization performance.