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This paper presents a new level set-based image segmentation method. First, a Gabor filter is used to suppress of noise in the extracted regions of interest and guide the motion of the evolving contour detection. Second, Green's theorem is used to develop a region-based energy function, combined with diffusion-based smoothing, to separate low contrast regions. Results are presented for it's application...
This paper proposes an efficient algorithm for segmenting the Pulmonary Artery (PA) tree in 3D pulmonary Computed Tomography Angiography (CTA) images. In this algorithm, to reduce the search area the lung regions from the original image are first segmented and the heart region is extracted by selecting the regions between the lungs. A pre-processing algorithm based on Hessian matrix and its eigenvalues...
This paper proposes a method for the semi-automatic segmentation of cerebral aneurysms from CTA datasets. The method consists of two phases: a region growing-based approach followed by a level set method, firstly to extract the cerebral artery and then to segment the aneurysm. The first phase automatically locates a seed point for initialization of the region growing in a seed slice, detection of...
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