Resumo (PT):
Abstract (EN):
Ultrasound imaging is extremely important for the assessment of disease severity in the carotid
arteries. The high complexity of irregular structures in transverse ultrasound images of abnormal
bifurcation of the common carotid artery brings tremendous difficulty to segmentation and
identification of vulnerable atherosclerotic plaques. Automatic algorithms for image segmentation
provide results minimizing the variability caused by subjective decisions and different operators. The
proposed algorithm for automatic segmentation of B-mode transverse images of the carotid
bifurcation facilitates structure selection for further analyses and provides an evaluation performance
of the methodology and a means for comparing different algorithm settings. Patient-specific Doppler
imaging is used to illustrate the new developed methodology.
Idioma:
Inglês
Tipo (Avaliação Docente):
Científica
Contacto:
ccastro@fe.up.pt; cantonio@fe.up.pt
Nº de páginas:
6