Intersection-based registration of slice stacks to form 3D images of the human fetal brain

Kio Kim, Mads Fogtmann Hansen, Piotr Habas, F. Rousseau, O. A. Glen, A. J. Barkovich, Colin Studholme

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Clinical fetal MR imaging of the brain commonly makes use of fast 2D acquisitions of multiple sets of approximately orthogonal 2D slices. We and others have previously proposed an iterative slice-to-volume registration process to recover a geometrically consistent 3D image. However, these approaches depend on a 3D volume reconstruction step during the slice alignment. This is both computationally expensive and makes the convergence of the registration process poorly defined. In this paper our key contribution is a new approach which considers the collective alignment of all slices directly, via shared structure in their intersections, rather than to an estimated 3D volume. We derive an analytical expression for the gradient of the collective similarity of the slices along their intersections, with respect to the 3D location and orientation of each 2D slice. We include examples of the approach applied to simulated data and clinically acquired fetal images.
    Original languageEnglish
    Title of host publicationProceedings of the 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
    Number of pages1167
    PublisherIEEE
    Publication date2008
    ISBN (Print)978-1-4244-2002-5
    DOIs
    Publication statusPublished - 2008
    Event2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Paris, France
    Duration: 14 May 200817 May 2008
    Conference number: 5
    http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4534844

    Conference

    Conference2008 IEEE International Symposium on Biomedical Imaging
    Number5
    Country/TerritoryFrance
    CityParis
    Period14/05/200817/05/2008
    Internet address

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