Title | ||
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A Framework for Detailed Objective Comparison of Non-rigid Registration Algorithms in Neuroimaging |
Abstract | ||
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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 Crum | 1 | 448 | 32.49 |
Daniel Rueckert | 2 | 9338 | 637.58 |
Mark Jenkinson | 3 | 1879 | 143.90 |
David Kennedy | 4 | 814 | 77.90 |
Stephen M Smith | 5 | 9119 | 670.46 |