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Fat Segmentation in Magnetic Resonance Images

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Book cover Medical Image Processing

Part of the book series: Biological and Medical Physics, Biomedical Engineering ((BIOMEDICAL))

Abstract

Over the past two decades, many authors have investigated the use of magnetic resonance imaging (MRI) for the analysis of body fat and body fat distribution. However, accurate isolation of fat in MR images is an arduous task when performed manually. In order to alleviate this burden, numerous automated and semi-automated segmentation algorithms have been developed for the quantification of fat in MR images. This chapter will discuss some of the techniques and models used in these algorithms, with a particular emphasis on their application and implementation.

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Notes

  1. 1.

    Fast spin echo techniques acquire between 2 and 16 lines of k-space during each TR.

  2. 2.

    Hematopoietic activity: pertaining to the formation of blood or blood cells.

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Authors and Affiliations

  1. Mater Misericordiae University Hospital and University College, Dublin, Ireland

    David P. Costello & Patrick A. Kenny

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  1. David P. Costello
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  2. Patrick A. Kenny
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Correspondence to David P. Costello .

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  1. , Applied Physics and Medical Imaging, California State University Channel Isla, One University Drive, Camarillo, 93012, USA

    Geoff Dougherty

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Costello, D.P., Kenny, P.A. (2011). Fat Segmentation in Magnetic Resonance Images. In: Dougherty, G. (eds) Medical Image Processing. Biological and Medical Physics, Biomedical Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9779-1_5

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