Segmentation of Renal Calculi from CT Abdomen Images by Incorporating FCM and Level Set Approaches

Abstract: In this paper, CT abdomen images are engaged to the segment kidney stones. The proposed work to perform segmentation of renal calculi is done at two stages. At first stage, the CT abdomen scan image is partitioned into different clusters by spatial fuzzy c means clustering method. From the divided clusters, the kidney region is selected and the fuzzy level set method is applied at the second stage. The proposed work is compared with the threshold and level set method implementation on CT abdomen images. The comparison of the two methods and the efficiency of the proposed work are analyzed quantitatively by using the evaluation parameters; Jaccard similarity coefficient and Accuracy. The qualitative and the quantitative analysis prove that the proposed work gives a proficient segmentation of renal stones from CT abdomen images.

Keywords: Image Segmentation, Kidney Stone, FCM, Level Set, Jaccard, Accuracy.