The segmentation of pelvic structures in magnetic resonance (MR) images of the female pelvic cavity is a challenging task. This paper proposes the use of three novel geometric deformable models to segment the bladder, vagina and rectum in axial MR images. The different imaging appearances and prior shape knowledge are combined into a level set framework as segmentation cues. The movements of the contours are co...
The anatomies of pelvic structures are critical for the diagnosis of pelvic floor dysfunctions. However, because of the complex background, the imaging appearances of pelvic organs and muscles are frequently distorted by noise and partial volume effect. Magnetic resonance imaging with its clear imaging quality of the female pelvic cavity is preferred for many studies. As such, correct segmentations of the pelvi...
Magnetic resonance imaging is currently one imaging modality for studying pelvic floor dysfunctions. In order to perform biomechanical analysis, the geometrical models of the concerned structures are needed, which implies that these structures should be segmented in the acquired image series. However, the appearances of the organs and muscles of female pelvic cavity can be easily distorted in the images by nois...
his 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 ord...
A method is proposed to segment the levator ani muscles in the axial view of MR images of pelvic cavity. The proposed algorithm is based on the main ideas of Chan-Vese’s model. A computational region and an initial contour are defined through the boundary of rectum. Intensity variances of the regions inside and outside the moving contour are used as the main external forces. The average intensity of the r...
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