This paper presents the implementation and validation of a new 3D deformable model method, based on the Mumford-Shah functional for segmentation of three-dimensional real-time ultrasound. An experiment on 10 patients with primary hypertension was carried out to compare three segmentation methods for quantification of right and left ventricular ejection fraction: (1) manual tracing by an expert cardiologist, (2) 2D parametric deformable model, and (3) 3D implicit deformable model implemented with a level set framework. Deformable model segmentations were performed on denoised data using a (3D+Time) brushlet expansion. The clinical study showed superior performance of the deformable model in assessing ejection fraction when compared to MRI measures. It also showed that the three-dimensional deformable model improved EF measures, which is explained by a more accurate segmentation of small and convoluted ventricular shapes when integrating the third spatial dimension.


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    Title :

    Segmentation of RT3D ultrasound with implicit deformable models without gradients


    Contributors:
    Angelini, E. (author) / Holmes, J. (author) / Laine, A. (author) / Homma, S. (author)


    Publication date :

    2003-01-01


    Size :

    449551 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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