Segment based Detection and Quantification of Kidney Stones and its symmetric Analysis using Texture Properties based on Logical Operators with Ultra Sound Scanning
Rohit Raja, J. Jennifer Ranjani · 2013
In this research work a fully automated and given to automatic algorithm to detect Quantification of Kidney Stones by using symmetric analysis, which is proposed in this paper. Here we detect the renal-stones, segment the renal regions and calculate the area of the renal which is occupied by kidney stones. The quantitative analysis of kidney stones allows obtaining useful key indicators of disease progression. The stone detection is often an essential preliminary phase to solve the segmentation problem successfully. Thus, the user eventually notices that it is hard to detect the boundary of the kidney in the US image; even it’s done by the trained sonographers. In addition, human error might occur during the interpretation of ultrasound image by untrained sonographer, especially when taking measurement. Therefore, in order to