A Diffeomorphic Matching Based Characterization of the Pelvic Organ Dynamics View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Mehdi Rahim , Marc-Emmanuel Bellemare , Nicolas Pirró , Rémy Bulot

ABSTRACT

The analysis of the behavior of the pelvic organs on dynamic mri sequences could help to a better understanding of pelvic floor pathophysiology. The main pelvic organs (bladder, uterus-vagina, rectum) are soft-tissue organs, they undergo deformations and displacements under an abdominal strain. Moreover, the inter-patient morphological variabilities of these organs are very important. In this paper, we present a methodology for the analysis of the pelvic organ dynamics based on a diffeormorphic matching method called large deformation diffeomorphic metric mapping. It allows to define a unique contour parametrization of the pelvic organs, and to estimate the organ deformations after matching the organ shape against its initial state (). Some promising results are presented, where the pathology detection capability of the deformation features is analyzed through an inter-patient analysis. Also, an organ parcellation is proposed by performing a local deformation analysis. More... »

PAGES

469-476

References to SciGraph publications

  • 2008-12. Large Deformation Diffeomorphic Metric Curve Mapping in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2009. Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI 2009
  • Book

    TITLE

    Computer Analysis of Images and Patterns

    ISBN

    978-3-642-23671-6
    978-3-642-23672-3

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-23672-3_57

    DOI

    http://dx.doi.org/10.1007/978-3-642-23672-3_57

    DIMENSIONS

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