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Extra info for Angiography and Plaque Imaging Advanced Segmentation Techniques
Complexity of the technique. The entire data acquisition needs a highly synchronized operation (timing). Any mistake could result in deteriorated image quality, which could be inferior to non-contrast images. In some circumstances, a trade-off between temporal and spatial resolution has to be made. Having discussed the different kinds of data acquisition techniques, their pros and cons, the limitations on two- and three-dimensional acquisitions, we will next discuss the segmentation techniques for extracting vessels in twoand three dimensions using MRA.
21, which shows the axial, coronal, and sagittal results, respectively. Pros and Cons of Geometric Deformable Model Technique: The major advantages of this technique included: 1. The method successfully demonstrated the segmentation of vessels of the brain. 2. The method used the directional component in the level set framework, which was necessary for segmenting twisted, convoluted, and occluded vessels. 3. The technique was used to compute vessel radii, a clinically useful measurement. The disadvantages of geometric deformable model based on the level set framework included: © 2003 by CRC Press LLC Non-Skeleton- and Skeleton-Based Segmentation Techniques 35 1.
This step consisted of solving the iterative EM algorithm to estimate the mean, variance and weight. We will only new present the updating values for the parameters new and wknew . k , k For details on the EM algorithm, readers are referred to . 7) i=1 Note here that N was the total number of voxels being considered and xi was the intensity of the voxel i, while the function p old (k|xi ) © 2003 by CRC Press LLC 28 Angiography and Plaque Imaging: Advanced Segmentation Techniques was the conditional probability of voxel i that belonged to class k at old k p (k|xi ) the current iteration and was defined as: p old (k|xi ) = wM−1 .
Angiography and Plaque Imaging Advanced Segmentation Techniques by Muhammad Asim Khan
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