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Extraction of AIH Candidates (Fig. 25.5, 3) High attenuation components are next segmented as candidate AIHs from each of the axial sections. The segmentation is based on combined (1) top-hat view transformations, essentially selecting pixels of higher attenuation than those in their vicinity, and (2) subtraction between the two sides of the brain about the midline, which highlights regions of higher attenuation than the contralateral anatomical region. The parameters are adjusted so that a good number of AIH candidates are generated to avoid missing any small lesions. The processes are shown in Figures 25.8 and 25.9. Localization of AIH Candidates (Fig. 25.5, 4) The many image features of the AIH candidates, including mean and variation of attenuation, area, long- and shortaxis diameters, and relative orientation, are quanti ed. In addition the candidate AIHs are given anatomical context by registration against a special coordinate system. This coordinate system is conceptually similar to the commonly used Talairach coordinate system in anatomy but is different in that it can be readily applicable for relatively thick section axial images obtained using ordinary clinical protocols. Coordinates on the coordinate system have their own anatomical label as a result of a normalization procedure using axial brain CT normal subjects obtained using a clinical protocol. Through the registration process between the study in question and the normalized coordinate system, each pixel location of the brain in question asp.net code 128 reader C# Code 128 Reader SDK to read, scan Code 128 in C#.NET class ...
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