Development of Segmentation Methods for Vascular Angiogram

Abstract Vascular angiogram is an important tool for diagnosing the presence of vascular disease, and its segmentation plays a key role for the objective and precise quantitative analysis of vascular tree shape and dimension. This review summarizes the current research efforts in the area of image segmentation of vessel angiogram, especially 2D projective angiogram, and presents some of the challenges anticipated in the years to come. Instead of a full description of the various methods based on categorization, the focus of this review is on providing the fundamental principles and relations of main segmentation methods for angiogram in terms of the image analysis aspect. The paper analyzes the different methods, such as local methods, tracking-based methods, and model-based methods, from a consistent aspect. The segmentation is summed up as a regular transform process and the different methods are aimed at a uniform segmentation object.

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