Ultrasound (US) guided carotid atherosclerosis diagnosis is based on the evaluation of the stenosis degree due to the presence of carotid plaques (CPs) and on CPs composition study. Accurate and automated CPs segmentation is essential to enable these evaluations. In this work, we present a fully automated CPs segmentation method based on level-set with an innovative initialization procedure that makes the approach completely user-independent by exploiting the carotid walls motion analysis. Performance were tested on 10 US image sequences of carotid artery and compared with manual contouring from an expert physician. Results show the effectiveness of our method at performing accurate CPs segmentation in US images without requiring any user intervention.
A fully automated method for carotid plaques segmentation in ultrasound images based on motion estimation and level-set / Francesca Galluzzo;Luca De Marchi;Nicola Testoni;Mahdi Tabassian;Nicolo Speciale;Guido Masetti. - STAMPA. - (2014), pp. 2343-2346. (Intervento presentato al convegno 2014 IEEE International Ultrasonics Symposium (IUS) tenutosi a Chicago, IL, United States nel 3-6 September 2014) [10.1109/ULTSYM.2014.0584].
A fully automated method for carotid plaques segmentation in ultrasound images based on motion estimation and level-set
GALLUZZO, FRANCESCA;DE MARCHI, LUCA;TESTONI, NICOLA;TABASSIAN, MAHDI;SPECIALE, NICOLO'ATTILIO;MASETTI, GUIDO
2014
Abstract
Ultrasound (US) guided carotid atherosclerosis diagnosis is based on the evaluation of the stenosis degree due to the presence of carotid plaques (CPs) and on CPs composition study. Accurate and automated CPs segmentation is essential to enable these evaluations. In this work, we present a fully automated CPs segmentation method based on level-set with an innovative initialization procedure that makes the approach completely user-independent by exploiting the carotid walls motion analysis. Performance were tested on 10 US image sequences of carotid artery and compared with manual contouring from an expert physician. Results show the effectiveness of our method at performing accurate CPs segmentation in US images without requiring any user intervention.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
