DocumentCode :
2552605
Title :
Generation of medical atlas from brain MR images through segmentation
Author :
Menon, Hema P. ; John, Majo ; Narayanankutty, K.A.
Author_Institution :
Dept. of CSE, Amrita Vishwa Vidyapeetham, Ettimadai, India
fYear :
2010
fDate :
15-17 June 2010
Firstpage :
1
Lastpage :
6
Abstract :
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.
Keywords :
biomedical MRI; brain; image segmentation; least squares approximations; medical image processing; user interfaces; brain MR images; image segmentation; interactive user interface; level sets method; medical atlas; medical diagnosis; moving least square method; region growing; thresholding; Biomedical imaging; Brain; Image segmentation; Level set; Magnetic resonance imaging; Pixel; Shape; Brain Atlas; Level Sets; Magnetic Resonance Imaging (MRI); Moving Lest Squares (MLS); Region Growing; Thresholding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2010 International Conference on
Conference_Location :
Kuala Lumpur, Malaysia
Print_ISBN :
978-1-4244-6623-8
Type :
conf
DOI :
10.1109/ICIAS.2010.5716239
Filename :
5716239
Link To Document :
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