A survey of cervix segmentation methods in magnetic resonance images

Soumya Ghose, Lois Holloway, Karen Lim, Philip Chan, Jacqueline Veera, Shalini K. Vinod, Gary Liney, Peter B. Greer, Jason Dowling

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    Abstract

    ![CDATA[Radiotherapy is an effective therapy in the treatment of cervix cancer. However tumor and normal tissue motion and shape deformation of the cervix, the bladder and the rectum over the course of the treatment can limit the efficacy of radiotherapy and safe delivery of the dose. A number of studies have presented the potential benefits of adaptive radiotherapy for cervix cancer with high soft tissue contrast magnetic resonance images. To enable practical implementation of adaptive radiotherapy for the cervix, computer aided segmentation is necessary. Accurate computer aided automatic or semi-automatic segmentation of the cervix is a challenging task due to inter patient shape variation, soft tissue deformation, organ motion, and anatomical changes during the course of the treatment. This article reviews the methods developed for cervix segmentation in magnetic resonance images. The objective of this work is to present different methods for cervix segmentation in the literature highlighting their similarities, differences, strengths and weaknesses.]]
    Original languageEnglish
    Title of host publicationProceedings of the 5th International Workshop on Abdominal Imaging: Computation and Clinical Applications: Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013
    PublisherSpringer
    Pages290-298
    Number of pages9
    ISBN (Print)9783642410826
    DOIs
    Publication statusPublished - 2013
    EventInternational Workshop on Abdominal Imaging -
    Duration: 22 Sept 2013 → …

    Publication series

    Name
    ISSN (Print)0302-9743

    Conference

    ConferenceInternational Workshop on Abdominal Imaging
    Period22/09/13 → …

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