BIROn - Birkbeck Institutional Research Online

    Estimating patient-specific shape prior for medical image segmentation

    Zhang, W. and Yan, P. and Li, Xuelong (2011) Estimating patient-specific shape prior for medical image segmentation. In: UNSPECIFIED (ed.) IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Institute of Electrical and Electronics Engineers, pp. 1451-1454. ISBN 9781424441273.

    Full text not available from this repository.

    Abstract

    Image segmentation is one of the key problems in medical image analysis. This paper presents a new statistical shape model for automatic image segmentation. In contrast to the previous model based segmentation methods, where shape priors are estimated from a general population-based shape model, our proposed method aims to estimate patient-specific shape priors to achieve more accurate segmentation by using manifold learning techniques. The proposed shape prior estimation method is incorporated into a deformable model based framework for image segmentation. The effectiveness of the proposed method has been demonstrated by the experiments on segmenting the prostate from MR images.

    Metadata

    Item Type: Book Section
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 07 Jun 2013 14:21
    Last Modified: 11 Oct 2016 15:27
    URI: http://eprints.bbk.ac.uk/id/eprint/7412

    Statistics

    Downloads
    Activity Overview
    0Downloads
    115Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item