A shape guided C-V model to segment the levator ani muscle in axial magnetic resonance images

Medical Engineering & Physics
Zhen MaJoão Manuel R S Tavares

Abstract

This paper proposes a modified Chan-Vese model to segment levator ani muscles from axial magnetic resonance (MR) images. Intensity variances of the foreground and the background are used as the main segmentation clues. As in most cases the boundary of the rectum can be successfully segmented in axial MR images, it is assumed as a priori and is used to define the region of interest and the initial contour. In order to handle the complex influences of the connective tissues, a shape influence field is formed based on the shape information of the rectum and is integrated into the Chan-Vese model. Several segmentation examples are presented to show the effectiveness of the proposed method and the necessity of adding the shape influences.

References

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Citations

May 12, 2011·Annals of Biomedical Engineering·Zhen MaJoão Manuel R S Tavares
Feb 5, 2013·Computers in Biology and Medicine·Zhen MaJoão Manuel R S Tavares
Dec 15, 2012·European Journal of Radiology·Blake D NiederhauserNaoki Takahashi
Jun 1, 2012·International Journal for Numerical Methods in Biomedical Engineering·Zhen MaJoão Manuel R S Tavares
Jul 12, 2014·IEEE Journal of Biomedical and Health Informatics·Jincheng PangEric L Miller
Jun 22, 2014·IEEE Transactions on Medical Imaging·Alireza Akhondi-AslSimon K Warfield
Jan 15, 2015·IEEE Journal of Biomedical and Health Informatics·Zhen Ma, João Manuel R S Tavares
Aug 26, 2016·Wiley Interdisciplinary Reviews. Systems Biology and Medicine·Xiani YanMartyn P Nash
Sep 14, 2013·Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine·Sofia BrandãoRenato M Natal Jorge
Aug 22, 2013·Journal of Microscopy·Y N Law

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