This work aims at creating a structural atlas for brain MR images, which would help to solve clinical problems, faced during the training periods and can also be referred as a data set for medical diagnosis. Medical images taken as inputs are correlated with predefined atlas image for diagnosing the presence of anomalies. The images are segmented and labeled by using various techniques like thresholding, region growing and level sets methods. As an innovative approach a Moving Least Square based segmentation has also been performed and the results are fascinating. Use of this method is found to reduce the segmentation time drastically. An interactive user interface has been developed for the clinicians use.
cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@5db24e81 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@65402735 Through org.apache.xalan.xsltc.dom.DOMAdapter@56ce3c81; Conference Code:84196
Dr. Hema Menon P., John, M., and Narayanankutty, K. A., “Generation of medical atlas from brain MR images through segmentation”, in 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010, Kuala Lumpur, 2010.