Abnormality detection in brain MRI/CT using segmentation algorithm and 3D visualization

In the present days, for the human body anatomical study and for the treatment planning medical science very much depend on the medical imaging technology and medical images. Specifically for the human brain, MRI and CT widely prefers and using for the imaging. But by nature medical images are complex and noisy. This leads to the necessity of processes that reduces difficulties in analysis and improves quality of output. This paper discuss about an improved segmentation algorithm for Mass detection in brain MRI scan and Ishmic detection in brain CT scan and have compared the performance of this method with conventional method. This Proposed algorithm offers the advantages of producing good quality segmentation and also easily visualizes the segmented region in 3D views for the treatment purpose. Histogram plot also measured based on the segmented output images to the input images.