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A 2-D active appearance model for prostate segmentation in ultrasound images

Abstract:

In this research we use an active appearance model (AAM) as the core of a robust segmentation algorithm that combines contour and texture information to learn shape variability through a training procedure in trans-rectal ultrasound (TRUS) images of the prostate. Training was carried out using a dataset of 95 images which are preprocessed using gray-level mathematical morphology operators. Preliminary results are promising. The segmentation can provide shapes that have an overlap with respect to a ground truth shape, traced by an expert, of up to 96%, and an average distance from point to curve of up to 1.3 pixels. © 2005 IEEE.

Año de publicación:

2005

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Simulación por computadora
    • Laboratorio médico

    Áreas temáticas:

    • Enfermedades

    Contribuidores:

    Onik G.M.Onik G.M.
    Ruben Medina MolinaRuben Medina Molina
    Yan P.Yan P.
    Bravo A.J.Bravo A.J.
    Toro J.G.Toro J.G.
    Windyga P.S.Windyga P.S.