Abnormal regions detection and quantification with accuracy estimation from MRI of brain

Accurate segmentation of brain tumor is very difficult and challenging task due to irregular shape, size, high degree of intensity and textural similarity between normal areas and abnormal regions areas. An intensity based new methodology to segment and detect is proposed which gives more accurate segmentation and detection of abnormal regions from MRI of brain. The accuracy of segmentation methods determine by quantitative measurement from the segmented abnormal regions. Here location of the abnormal regions is clearly identified using distance calculation of several positions which is very helpful for diagnosis. From visually and quantifiable point of view our methods gives very accurate segmented tumor output with very low error rate and very high accuracy.