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

• Type: Article in International Scientific Journal
• Date: 2010

Authors

Zhen Ma (Author) Other; Renato Natal M. Jorge (Author) FEUP; João Manuel R. S. Tavares (Author) FEUP

Journal

Title: Medical Engineering & Physics

Vol. 32 No. 7

Pages: 766-774

ISSN: 1350-4533

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 33 Citations

ISI Web of Science

Scopus - 40 Citations

INSPEC

COMPENDEX

Scientific classification

FOS: Engineering and technology > Environmental biotechnology

CORDIS: Technological sciences > Technology > Computer technology > Image processing ; Technological sciences > Engineering > Biomedical enginnering

Other information

Authenticus ID: P-003-3PQ

DOI: 10.1016/j.medengphy.2010.05.002

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9