On in-vitro and in-vivo IVUS data fusion

Abstract. 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 dataset 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 di...

• Type: Conference
• Year: 2009
• Where: CCIA
• Authors: Francesco Ciompi, Oriol Pujol, Oriol Rodriguez-Leor, Angel Serrano Vida, Josepa Mauri, Petia Radeva
• Keywords: Artificial Intelligence, CCIA 2009, Histological Analysis, In-vitro Ivus Data, Intravascular Ultrasound