Home Health Computational Anatomy Based on Whole Body Imaging: Basic Principles of Computer-Assisted Diagnosis and Therapy
In this subsection, the outline of one of the most fundamental methods for the segmentation of the organs in medical images, active shape model (ASM) , is described along with other techniques.
Outline of ASM
The ASM segments a target organ region in a given image by registering a statistical shape model (SSM) of the boundary of the target organ to the given image. A SSM parametrically represents the statistical variety of the shapes of the boundary of the target organ, and the model is registered to the given image by estimating the values of the parameters of the SSM. One can divide the ASM algorithm into two steps: (1) construction of a SSM and (2) registration of the SSM. The basics of outlining the ASM are similar to those of many other methods for medical image segmentation. Figure 2.1 shows the process of (1) construction of a SSM and of (2) of registration.
Fig. 2.1 Flow of the construction of a SSM and of its registration to given images
The objective of ASM is to determine the boundary of a target region in a new given image by registering the constructed SSM to the image. The SSM is registered by estimating appropriate values of the parameters of the SSM. When the SSM is registered accurately, each point on the surface represented by the SSM is located on the voxels around which the local image pattern has some features specific to the boundary of the target organ.
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