A framework for detailed objective comparison of non-rigid registration algorithms in neuroimaging
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 o...
| Հիմնական հեղինակներ: | , , , , |
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| Ձևաչափ: | Conference item |
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2004
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| _version_ | 1826290919259766784 |
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| author | Crum, W Rueckert, D Jenkinson, M Kennedy, D Smith, S |
| author_facet | Crum, W Rueckert, D Jenkinson, M Kennedy, D Smith, S |
| author_sort | Crum, W |
| collection | OXFORD |
| description | 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. © Springer-Verlag Berlin Heidelberg 2004. |
| first_indexed | 2024-03-07T02:51:33Z |
| format | Conference item |
| id | oxford-uuid:add7b84f-40c2-482d-ad67-4c6c86d59e47 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T02:51:33Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | oxford-uuid:add7b84f-40c2-482d-ad67-4c6c86d59e472022-03-27T03:38:48ZA framework for detailed objective comparison of non-rigid registration algorithms in neuroimagingConference itemhttp://purl.org/coar/resource_type/c_5794uuid:add7b84f-40c2-482d-ad67-4c6c86d59e47Symplectic Elements at Oxford2004Crum, WRueckert, DJenkinson, MKennedy, DSmith, SNon-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. © Springer-Verlag Berlin Heidelberg 2004. |
| spellingShingle | Crum, W Rueckert, D Jenkinson, M Kennedy, D Smith, S A framework for detailed objective comparison of non-rigid registration algorithms in neuroimaging |
| title | A framework for detailed objective comparison of non-rigid registration algorithms in neuroimaging |
| title_full | A framework for detailed objective comparison of non-rigid registration algorithms in neuroimaging |
| title_fullStr | A framework for detailed objective comparison of non-rigid registration algorithms in neuroimaging |
| title_full_unstemmed | A framework for detailed objective comparison of non-rigid registration algorithms in neuroimaging |
| title_short | A framework for detailed objective comparison of non-rigid registration algorithms in neuroimaging |
| title_sort | framework for detailed objective comparison of non rigid registration algorithms in neuroimaging |
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