Unsupervised Assessment of Subcutaneous and Visceral Fat by MRI

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    Abstract

    This paper presents a. method for unsupervised assessment of visceral and subcutaneous adipose tissue in the abdominal region by MRI. The identification of the subcutaneous and the visceral regions were achieved by dynamic programming constrained by points acquired from an active shape model. The combination of active shape models and dynamic programming provides for a both robust and accurate segmentation. The method features a. low number of parameters that give good results over a. wide range of values. The unsupervised segmentation was compared with a, manual procedure rind the correlation between the manual segmentation and unsupervised segmentation was considered high.
    Original languageEnglish
    Title of host publicationIMAGE ANALYSIS, PROCEEDINGS
    Volume5575
    PublisherSpringer
    Publication date2009
    Pages179-188
    ISBN (Print)978-3-642-02229-6
    Publication statusPublished - 2009
    Event16th Scandinavian Conference on Image Analysis (SCIA) - Oslo, Norway
    Duration: 15 Jun 200918 Jun 2009
    http://www.scia2009.org/

    Conference

    Conference16th Scandinavian Conference on Image Analysis (SCIA)
    CountryNorway
    CityOslo
    Period15/06/200918/06/2009
    Internet address
    SeriesLecture Notes in Computer Science

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