Segmentation is a powerful procedure that could be used to extract relevant information of the images based on advanced techniques (like active contours, region growing, Markov random fields, and medical atlas analysis). For the procedures, the main task is the contour, or volume or surface representation of specific parts of the organs that could be used for the benefit of the patients under doctor evaluation. So, in real cases, the proposed process must be quick, accurate and easy to implement. The segmentation of the organ is another problem that must be considered. More complicated, more demanding the segmentation process. In our case (bronchus segmentation) a quick, effective and easy to implement procedure is proposed based on the combination of boundary tracking and region growing techniques.
Atherosclerotic carotid wall segmentation in ultrasound images using Markov random fields
