engleski

Atlas-based image segmentation: A Survey

Image segmentation is often the first step in image analysis. Its goal is to simplify or change the representation of an image into something more meaningful or easier to analyze. Comparative advantage of the atlas-based segmentation with respect to the other segmentation methods is the ability to segment the image with no well defined relation between regions and pixels' intensities. This is usually the case when the objects of the same structure need to be segmented (i.e. have the same texture), and the information about difference between these object is incorporated in spatial relationship between them, other objects, or within their morphometric characteristics. While different surveys on image registration, image segmentation and even atlas construction do exist, in this work we aim to present the guide for classification and distinction of different methods that can be used for atlas-based segmentation. The idea of this work is to use as an aid for beginners in the field while giving an overview of knowledge needed for certain problem solving.

Atlas-based image segmentation; medical image registration; atlas construction; statistical model; unbiased atlas selection; transformation; mappings; similarity measure; optimization algorithm; survey.

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