Gobert Lee Flinders
Voxel model, image segmentation, statistical region merg-ing.
Segmentation is one of the key steps in the process of de- veloping anatomical models for calculation of safe medical dose of radiation for children. This study explores the po- tential of the Statistical Region Merging segmentation tech- nique for tissue segmentation in CT images. An analytical criterion allowing for an automatic tuning of the method is developed. The experiments are performed using a data set of 54 images from one patient, demonstrating the validity of the proposed criterion. The results are evaluated using the Jaccard index and a measure of border error with tol- erance which addresses, application-dependant, acceptable error. The outcome shows that the technique has a great potential to become a method of choice for segmentation of CT images with an overall average boundary precison, for six representative tissues, equal to 0.937.
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