Unsupervised Assessment of Subcutaneous and Visceral Fat by MRI

  • Peter S. Jørgensen
  • Rasmus Larsen
  • Kristian Wraae
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5575)

Abstract

This paper presents a method for unsupervised assessment of visceral and subcutaneous adipose tissue in the abdominal region by MRI. The identification of the subcutaneous and the visceral regions were achieved by dynamic programming constrained by points acquired from an active shape model. The combination of active shape models and dynamic programming provides for a both robust and accurate segmentation. The method features a low number of parameters that give good results over a wide range of values.The unsupervised segmentation was compared with a manual procedure and the correlation between the manual segmentation and unsupervised segmentation was considered high.

Keywords

Image processing Abdomen Visceral fat Dynamic programming Active shape model 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Peter S. Jørgensen
    • 1
    • 2
  • Rasmus Larsen
    • 1
  • Kristian Wraae
    • 3
  1. 1.Department of Informatics and Mathematical ModellingTechnical University of DenmarkDenmark
  2. 2.Fuel Cells and Solid State Chemistry Division, National Laboratory for Sustainable EnergyTechnical University of DenmarkDenmark
  3. 3.Odense University HospitalDenmark

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