Paper Info
Title
Automatic brain MR image registration based on Talairach reference system
Abstract
An automatic process of determining specified points in brain is presented, which is required to register brain MR images based on Talairach reference system. Generally, the 10 points that are needed to be determined for the registration are anterior commissure(AC), posterior commissure (PC), anterior point (AP), posterior point (PP), superiorpoint (SP), inferior point (IP), left point (LP), right point (RP) and two points for the midline of the brain. The proposed method automatically determines all the necessary points for registration except IP in a more stable manner than the manual selections. Projection information of the image intensity is used for the midline determination which is a necessary step for the midsagittal plane extraction. To find AC and PC in the midsagittal plane image, two-level shape matching of the corpus callosum followed by AC and PC shape matching is performed in the edge-enhanced midsagittal plane image. Remaining points are found by fitting the intensity curve of the cutview with the Gaussian model. After finding the necessary points, the brain MR images can be successfully registered.
Year
DOI
Venue
2003
10.1109/ICIP.2003.1247158
ICIP (1)
Keywords
Field
DocType
intensity curve fitting,posterior point,posterior commissure,image matching,anterior point,image intensity,gaussian distribution,brain midline determination,biomedical mri,edge detection,two-level shape matching,automatic brain mr image registration,gaussian model,brain,talairach reference system,corpus callosum,image registration,projection information,anterior commissure,medical image processing,edge-enhanced midsagittal plane extraction,edge enhancement
Computer vision,Posterior commissure,Pattern recognition,Computer science,Image matching,Edge detection,Artificial intelligence,Anterior commissure,Corpus callosum,Sagittal plane,Image registration
Conference
Volume
ISSN
ISBN
1
1522-4880
0-7803-7750-8
Citations 
PageRank 
References 
8
0.71
2
Authors
2
Name
Order
Citations
PageRank
Yejt Han180.71
Hyun Wook Park249554.79