Optical flow for validating medical image registration
Many approaches to the task of computing medical image registration have been presented, but there is little knowledge of how to evaluate the quality of the models of transformation these approaches use, or accuracy of the computed parameters. There is the well known technique of comparing the refer...
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| Format: | Conference Paper |
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ACTA Press / IASTED
2003
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| Online Access: | http://hdl.handle.net/20.500.11937/45170 |
| _version_ | 1848757208748130304 |
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| author | Cooper, James |
| author_facet | Cooper, James |
| author_sort | Cooper, James |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Many approaches to the task of computing medical image registration have been presented, but there is little knowledge of how to evaluate the quality of the models of transformation these approaches use, or accuracy of the computed parameters. There is the well known technique of comparing the reference image to a transformed secondary image, but evidence to support or deny accuracy of the transformation is still hard to obtain.Many approaches to the task of computing medical image registration have been presented, but there is little knowledge of how to evaluate the quality of the models of transformation these approaches use, or accuracy of the computed parameters. There is the well known technique of comparing the reference image to a transformed secondary image, but evidence to support or deny accuracy of the transformation is still hard to obtain.This paper presents a technique to give researchers and clinicians clear visual evidence to validate the accuracy of 2D and 3D registration of medical images. It works by borrowing the computer vision technique of optical flow to compute disparities between the reference image and the transformed secondary image. The resulting disparity information may be presented as a needle diagram to assist with communication of results via paper, or used in subsequent steps of a registration algorithm. |
| first_indexed | 2025-11-14T09:24:27Z |
| format | Conference Paper |
| id | curtin-20.500.11937-45170 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:24:27Z |
| publishDate | 2003 |
| publisher | ACTA Press / IASTED |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-451702017-01-30T15:19:06Z Optical flow for validating medical image registration Cooper, James registration validation - optical flow - medical imaging Many approaches to the task of computing medical image registration have been presented, but there is little knowledge of how to evaluate the quality of the models of transformation these approaches use, or accuracy of the computed parameters. There is the well known technique of comparing the reference image to a transformed secondary image, but evidence to support or deny accuracy of the transformation is still hard to obtain.Many approaches to the task of computing medical image registration have been presented, but there is little knowledge of how to evaluate the quality of the models of transformation these approaches use, or accuracy of the computed parameters. There is the well known technique of comparing the reference image to a transformed secondary image, but evidence to support or deny accuracy of the transformation is still hard to obtain.This paper presents a technique to give researchers and clinicians clear visual evidence to validate the accuracy of 2D and 3D registration of medical images. It works by borrowing the computer vision technique of optical flow to compute disparities between the reference image and the transformed secondary image. The resulting disparity information may be presented as a needle diagram to assist with communication of results via paper, or used in subsequent steps of a registration algorithm. 2003 Conference Paper http://hdl.handle.net/20.500.11937/45170 ACTA Press / IASTED fulltext |
| spellingShingle | registration validation - optical flow - medical imaging Cooper, James Optical flow for validating medical image registration |
| title | Optical flow for validating medical image registration |
| title_full | Optical flow for validating medical image registration |
| title_fullStr | Optical flow for validating medical image registration |
| title_full_unstemmed | Optical flow for validating medical image registration |
| title_short | Optical flow for validating medical image registration |
| title_sort | optical flow for validating medical image registration |
| topic | registration validation - optical flow - medical imaging |
| url | http://hdl.handle.net/20.500.11937/45170 |