Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Auto-extraction of brain region from MR image by using snake controlled by neural network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Shimada, T. ; Appl. Supercond. Res. Lab., Tokyo Denki Univ., Chiba, Japan ; Liqun Wang ; Saito, M.

In this research, we developed a snake algorithm that was controlled by neural network for detecting the brain region from head images acquired from a MRI scanner. The way of movement of the snake algorithm is decided by several parameters. However, it is very difficult to decide the proper parameters for an image that is noisy or has its average intensity shifted between images like MRI. In our method, first, the neural network learns to output the proper parameters for the snake to converge to the right position. Second, the snake, controlled by neural network, was applied to the MRI image. Then the brain aria was detected automatically. In our study, it was shown that operator labor for detecting the brain region was dramatically reduced by using the proposed method

Published in:

Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE  (Volume:4 )

Date of Conference: