Scheduled System Maintenance:
On Wednesday, July 29th, IEEE Xplore will undergo scheduled maintenance from 7:00-9:00 AM ET (11:00-13:00 UTC). During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

3-D brain image registration using optimal morphological processing and iterative principal axis transform

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

2 Author(s)
Loncaric, S. ; Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA ; Dhawan, Atam P.

The 3-D registration of magnetic resonance (MR) and positron emission tomographic (PET) images of the brain is of significant interest for various reasons. A new MR and PET brain registration procedure is presented here. The procedure is based on the iterative principal axis transform (IPAR) and the optimal shape description method based on the morphological signature transform. The morphological processing is used to improve the accuracy of the basic IPAR method. A genetic algorithm is used to select a near-optimal structuring element for MST-based registration. The results demonstrate that the method provides an accurate registration

Published in:

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Date of Conference:

3-6 Nov 1994