Enhancing In-Vitro IVUS Data for Tissue Characterization

Intravascular Ultrasound (IVUS) data validation is usually performed by comparing post-mortem (in-vitro) IVUS data and corresponding histological analysis of the tissue, obtaining a reliable ground truth. The main drawback of this method is the few number of available study cases due to the complex procedure of histological analysis. In this work we propose a novel semi-supervised approach to enhance the in-vitro training set by including examples from in-vivo coronary plaques data set. For this purpose, a Sequential Floating Forward Selection method is applied on in-vivo data and plaque characterization performances are evaluated by Leave-One-Patient-Out cross-validation technique. Supervised data inclusion improves global classification accu

• Type: Conference
• Year: 2009
• Where: IBPRIA
• Authors: Francesco Ciompi, Oriol Pujol, Oriol Rodriguez-Leor, Carlo Gatta, Angel Serrano Vida, Petia Radeva
• Keywords: Histological Analysis, IBPRIA 2009, In-vivo Coronary Plaques, In-vivo Data, Pattern Recognition