IEEE transactions on bio-medical engineering · 2025
Unifying Structure and Function Towards a Comprehensive Macular Evaluation in Eye Disorders: A Multi-Modal Approach Using Microperimetry and Optical Coherence Tomography.
СтатьяПоддержка NIH: внешняя программаНазвание и аннотация: Перевод в очереди
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Soans Rijul Saurabh, Smith Benjamin E, Chung Susana T L
Аннотация
OBJECTIVE: We present a new automatic and comprehensive framework to evaluate retinal sub-layer thickness and visual sensitivity at precise retinal locations through multi-modal registration of confocal scanning laser ophthalmoscope (cSLO) images obtained separately from an optical coherence tomography (OCT) device and a microperimeter.
METHODS: We map consecutive B-scans onto the cSLO images after accounting for eye motion. Next, we coarsely register the SLO-microperimetry and cSLO-OCT images using SIFT, followed by precise elastic image registration. Subsequently, we ensure the quality of the co-registered images through single-particle and object tracking of the warped microperimetry test locations. Finally, the retinal thickness is queried from the segmented retinal layers in the co-registered space. A manual mode involving projective transformation accounting for perspective distortions in the images arising from the two modalities is also included.
RESULTS: Validation using retinal images of 8 adults with albinism, 16 adults with amblyopia, 3 adults with macular diseases, and 15 visually healthy adults showed results with excellent reliability.
CONCLUSION: The proposed framework enables the evaluation of retinal thickness by utilizing precise structural and functional relationships of the eye through a self-assessing multi-tiered approach.
SIGNIFICANCE: Our framework lays the foundation towards a comprehensive structure-function assessment of the macular region in various eye disorders.
METHODS: We map consecutive B-scans onto the cSLO images after accounting for eye motion. Next, we coarsely register the SLO-microperimetry and cSLO-OCT images using SIFT, followed by precise elastic image registration. Subsequently, we ensure the quality of the co-registered images through single-particle and object tracking of the warped microperimetry test locations. Finally, the retinal thickness is queried from the segmented retinal layers in the co-registered space. A manual mode involving projective transformation accounting for perspective distortions in the images arising from the two modalities is also included.
RESULTS: Validation using retinal images of 8 adults with albinism, 16 adults with amblyopia, 3 adults with macular diseases, and 15 visually healthy adults showed results with excellent reliability.
CONCLUSION: The proposed framework enables the evaluation of retinal thickness by utilizing precise structural and functional relationships of the eye through a self-assessing multi-tiered approach.
SIGNIFICANCE: Our framework lays the foundation towards a comprehensive structure-function assessment of the macular region in various eye disorders.