TY  - CONF
AU  - Francesco Ciompi
AU  - Oriol Pujol
AU  - O. Rodriguez-Leor
AU  - Angel Serrano
AU  - J. Mauri
AU  - Petia Radeva
A2  - CCIA
PY  - 2009//
TI  - On in-vitro and in-vivo IVUS data fusion
BT  - 12th International Conference of the Catalan Association for Artificial Intelligence
SP  - 147
EP  - 156
VL  - 202
N2  - The design and the validation of an automatic plaque characterization technique based on Intravascular Ultrasound (IVUS) usually requires a data ground-truth. The histological analysis of post-mortem coronary arteries is commonly assumed as the state-of-the-art process for the extraction of a reliable data-set of atherosclerotic plaques. Unfortunately, the amount of data provided by this technique is usually few, due to the difficulties in collecting post-mortem cases and phenomena of tissue spoiling during histological analysis. In this paper we tackle the process of fusing in-vivo and in-vitro IVUS data starting with the analysis of recently proposed approaches for the creation of an enhanced IVUS data-set; furthermore, we propose a new approach, named pLDS, based on semi-supervised learning with a data selection criterion. The enhanced data-set obtained by each one of the analyzed approaches is used to train a classifier for tissue characterization purposes. Finally, the discriminative power of each classifier is quantitatively assessed and compared by classifying a data-set of validated in-vitro IVUS data.
SN  - 978-1-60750-061-2
UR  - http://dx.doi.org/10.3233/978-1-60750-061-2-147
N1  - MILAB;HuPBA
ID  - Francesco Ciompi2009
ER  -