ABSTRACT
In this chapter, the authors attempt to describe various concepts of image analysis and how these principles are applied to nuclear medicine. The main advantage of voxel-based correction with multiple regions is that it provides partial volume correction over the entire image. As in thresholding, edge detection results in a binary image with 'interesting' objects having white pixels. They provide a short overview of the process. The rest of the chapter has been dedicated to describing how image analysis is applied on nuclear medicine images using MATLAB. Besides, Deasy et al. have developed the software CERR; although it is intended for radiotherapy research, it can provide a framework for nuclear medicine image analysis to perform various processes such as thresholding, watershed segmentation, contouring, and registration.
