Performance evaluation of region-growing based segmentation algorithms for segmenting the aorta

Region-growing based image segmentation techniques,available for medical images,are reviewed in this paper. in digital image processing,segmentation of humans' organs from medical images is a very challenging task. a number of medical image segmentation techniques have been proposed,but there is no standard automatic algorithm that can generally be used to segment a real 3d image obtained in daily routine by the clinicians. our criteria for the evaluation of different region-growing based segmentation algorithms are: ease of use,noise vulnerability,effectiveness,need of manual initialization,efficiency,computational complexity,need of training,information used,and noise vulnerability. we test the common region-growing algorithms on a set of abdominal mri scans for the aorta segmentation. the evaluation results of the segmentation algorithms show that region-growing techniques can be a better choice for segmenting an object of interest from medical images. © 2016 penerbit utm press. all rights reserved.