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Volume quantification for the ACM segmented regions

Active contour model (ACM) algorithm has been proven to be an efficient and accurate method to segment out the regions of interest even in the images with high noise or low contrast. Some quantification methods are time consuming because they are performed manually. A new volume quantification method was proposed for quantifying the ACM segmented regions. The purpose of this study is to develop a simple, straight forward, accurate and efficient automatic volume quantification method with edge linking and region filling processes (AVQM) for the ACM segmented regions. Three computer simulated images were created to evaluate the accuracy of the proposed method. These simulated images were used for the accuracy evaluations. Furthermore, the results of AVQM were compared with those of the direct counting method (DCM). It is found that the average percentage error of AVQM (9.24%) is significantly lower than those of DCM (42.88%) in quantifying the regions of interest. In conclusion, AVQM is more accurate and more reliable than DCM in quantifying the volume of ACM segmented regions.