Title
A Framework for Detailed Objective Comparison of Non-rigid Registration Algorithms in Neuroimaging
Abstract
Non-rigid image registration is widely used in the analysis of brain images to the extent it is provided as a standard tool in common packages such as SPM. However the performance of algorithms in specific applications remains hard to measure. In this paper a detailed comparison of the performance of an affine, B-Spline control-point and viscous fluid registration algorithm in inter-subject brain registration is presented. The comparison makes use of highly detailed expert manual labellings of a range of structures distributed in scale and in location in the brain. The overall performance is B-Spline, fluid, affine (best first) with all algorithms struggling to improve the match of smaller structures. We discuss caveats, evaluation strategies for registration and implications for future registration-based neuroimaging studies.
Year
DOI
Venue
2004
10.1007/978-3-540-30135-6_83
Lecture Notes in Computer Science
Keywords
Field
DocType
brain imaging,viscous fluid
Affine transformation,Computer vision,Computer science,Algorithm,Medical image computing,Artificial intelligence,Neuroimaging,Image registration
Conference
Volume
ISSN
Citations 
3216
0302-9743
32
PageRank 
References 
Authors
2.11
10
5
Name
Order
Citations
PageRank
William R Crum144832.49
Daniel Rueckert29338637.58
Mark Jenkinson31879143.90
David Kennedy481477.90
Stephen M Smith59119670.46