The accurate carotid plaques segmentation (CPs-S) is essential in the ultrasound (US)-guided carotid atherosclerosis diagnosis. In this work, we propose CAPSU: a completely automated method for CPs-S in US images. The core of the method is an innovative initialization procedure that exploits carotid wall motion analysis to automatically initialize a level-set segmentation algorithm. A strain analysis is also used to improve the initialization procedure. CAPSU performance with and without the strain analysis were evaluated on US data from 8 patients and compared with manual contouring from an expert sonographer. Results show the CAPSU effectiveness as accurate and reliable tool for fully automated CPs-S in US images.
Galluzzo, F., Corsi, C., Morizzo, C., De Marchi, L., Testoni, N., Speciale, N., et al. (2014). CAPSU: a Completely Automated Method for Carotid Plaques Segmentation in Ultrasound Images. IEEE Press.
CAPSU: a Completely Automated Method for Carotid Plaques Segmentation in Ultrasound Images
GALLUZZO, FRANCESCA;CORSI, CRISTIANA;DE MARCHI, LUCA;TESTONI, NICOLA;SPECIALE, NICOLO' ATTILIO;MASETTI, GUIDO
2014
Abstract
The accurate carotid plaques segmentation (CPs-S) is essential in the ultrasound (US)-guided carotid atherosclerosis diagnosis. In this work, we propose CAPSU: a completely automated method for CPs-S in US images. The core of the method is an innovative initialization procedure that exploits carotid wall motion analysis to automatically initialize a level-set segmentation algorithm. A strain analysis is also used to improve the initialization procedure. CAPSU performance with and without the strain analysis were evaluated on US data from 8 patients and compared with manual contouring from an expert sonographer. Results show the CAPSU effectiveness as accurate and reliable tool for fully automated CPs-S in US images.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
