Non-Rigid Registration for High-Resolution Retinal Imaging
Adaptive optics provides improved resolution in ophthalmic imaging when retinal microstructures need to be identified, counted, and mapped. In general, multiple images are averaged to improve the signal-to-noise ratio or analyzed for temporal dynamics. Image registration by cross-correlation is stra...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/13/13/2285 |
| _version_ | 1797591883886624768 |
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| author | Mircea Mujat James D. Akula Anne B. Fulton R. Daniel Ferguson Nicusor Iftimia |
| author_facet | Mircea Mujat James D. Akula Anne B. Fulton R. Daniel Ferguson Nicusor Iftimia |
| author_sort | Mircea Mujat |
| collection | DOAJ |
| description | Adaptive optics provides improved resolution in ophthalmic imaging when retinal microstructures need to be identified, counted, and mapped. In general, multiple images are averaged to improve the signal-to-noise ratio or analyzed for temporal dynamics. Image registration by cross-correlation is straightforward for small patches; however, larger images require more sophisticated registration techniques. Strip-based registration has been used successfully for photoreceptor mosaic alignment in small patches; however, if the deformations along strips are not simple displacements, averaging can degrade the final image. We have applied a non-rigid registration technique that improves the quality of processed images for mapping cones over large image patches. In this approach, correction of local deformations compensates for local image stretching, compressing, bending, and twisting due to a number of causes. The main result of this procedure is improved definition of retinal microstructures that can be better identified and segmented. Derived metrics such as cone density, wall-to-lumen ratio, and quantification of structural modification of blood vessel walls have diagnostic value in many retinal diseases, including diabetic retinopathy and age-related macular degeneration, and their improved evaluations may facilitate early diagnostics of retinal diseases. |
| first_indexed | 2024-03-11T01:43:45Z |
| format | Article |
| id | doaj.art-261fadba4e6d42579a5cda7d79391ac0 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-11T01:43:45Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-261fadba4e6d42579a5cda7d79391ac02023-11-18T16:22:36ZengMDPI AGDiagnostics2075-44182023-07-011313228510.3390/diagnostics13132285Non-Rigid Registration for High-Resolution Retinal ImagingMircea Mujat0James D. Akula1Anne B. Fulton2R. Daniel Ferguson3Nicusor Iftimia4Physical Sciences, Inc., 20 New England Business Center, Andover, MA 01810, USADepartment of Ophthalmology, Boston Children’s Hospital, Boston, MA 02115, USADepartment of Ophthalmology, Boston Children’s Hospital, Boston, MA 02115, USAPhysical Sciences, Inc., 20 New England Business Center, Andover, MA 01810, USAPhysical Sciences, Inc., 20 New England Business Center, Andover, MA 01810, USAAdaptive optics provides improved resolution in ophthalmic imaging when retinal microstructures need to be identified, counted, and mapped. In general, multiple images are averaged to improve the signal-to-noise ratio or analyzed for temporal dynamics. Image registration by cross-correlation is straightforward for small patches; however, larger images require more sophisticated registration techniques. Strip-based registration has been used successfully for photoreceptor mosaic alignment in small patches; however, if the deformations along strips are not simple displacements, averaging can degrade the final image. We have applied a non-rigid registration technique that improves the quality of processed images for mapping cones over large image patches. In this approach, correction of local deformations compensates for local image stretching, compressing, bending, and twisting due to a number of causes. The main result of this procedure is improved definition of retinal microstructures that can be better identified and segmented. Derived metrics such as cone density, wall-to-lumen ratio, and quantification of structural modification of blood vessel walls have diagnostic value in many retinal diseases, including diabetic retinopathy and age-related macular degeneration, and their improved evaluations may facilitate early diagnostics of retinal diseases.https://www.mdpi.com/2075-4418/13/13/2285adaptive opticsretinal diseasescanning laser ophthalmoscopy |
| spellingShingle | Mircea Mujat James D. Akula Anne B. Fulton R. Daniel Ferguson Nicusor Iftimia Non-Rigid Registration for High-Resolution Retinal Imaging Diagnostics adaptive optics retinal disease scanning laser ophthalmoscopy |
| title | Non-Rigid Registration for High-Resolution Retinal Imaging |
| title_full | Non-Rigid Registration for High-Resolution Retinal Imaging |
| title_fullStr | Non-Rigid Registration for High-Resolution Retinal Imaging |
| title_full_unstemmed | Non-Rigid Registration for High-Resolution Retinal Imaging |
| title_short | Non-Rigid Registration for High-Resolution Retinal Imaging |
| title_sort | non rigid registration for high resolution retinal imaging |
| topic | adaptive optics retinal disease scanning laser ophthalmoscopy |
| url | https://www.mdpi.com/2075-4418/13/13/2285 |
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