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.

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.
Computing in Cardiology 2014
309
312
Galluzzo, F.; Corsi, C.; Morizzo, C.; De Marchi, L.; Testoni, N.; Speciale, N.; Masetti, G.
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/556401
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact