System Strengths

This chapter presented the following new implementations when it comes to MR plaque imaging: (a) Application of three different sets of classifiers for lumen region classification in plaque MR protocols. These classifiers are done in multiresolution framework. Thus subregions are chosen and subclassifiers are applied to compute the accuracy of the pixel values belonging to a class. (b) Region merging for subclasses in lumen region to compute accurate lumen region and lumen boundary in cross-sectional images. (c) Rotational effect of

Figure 9.47: Results of estimated boundary using circular- vs. elliptical-based methods. The system used was FCM based. Top rows are circular-based ROI, while the corresponding bottom rows are elliptical-based ROIs.

region of interest in bifurcation zones for accurate lumen region identification and boundary estimation.

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