Segmentation of Rib Bones From MR Data Using Tracking Approach and Polynomial Parametrization

Harri Pölönen, Gerald Schubert

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    1 Citation (Scopus)


    Segmentation of rib bones from magnetic resonance (MR) data is a challenging task due to the very weak MR signal of the bone tissue. The locations of the rib bones are indicated by the lack of signal between the surrounding soft tissues.
    We have developed an automated rib segmentation method, which tracks the bones from a given initial point using a predefined rib cross-section template. The three-dimensional location of the rib midline is parametrized with second order polynomials. The correct rib midline is determined through numerical optimization of polynomial parameters by maximizing cross-correlation between the template and the MR data. The segmentation result is a three-dimensional binary segmentation of the ribs, which can be output also as a surface. Comparison between the method's output and a manual segmentation shows that the method works adequately.
    Original languageEnglish
    Title of host publication21st European Signal Processing Conference (EUSIPCO 2013)
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Number of pages5
    ISBN (Electronic)978-0-9928626-0-2
    Publication statusPublished - 2013
    MoE publication typeA4 Article in a conference publication
    Event21st European Signal Processing Conference, EUSIPCO 2013 - Marrakech, Morocco
    Duration: 9 Sept 201313 Sept 2013


    Conference21st European Signal Processing Conference, EUSIPCO 2013
    Abbreviated titleEUSIPCO 2013


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