Generalization of the Lyot filter and its application to snapshot spectral imaging

Gorman, Alistair; Fletcher-Holmes, David William; Harvey, Andrew R.

doi:10.1364/oe.18.005602

Cited by 109 publications

(66 citation statements)

References 19 publications

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“…Retinal arteriolar OS values were consistent with previous studies. Retinal venular OS values were lower than some reports on normal subjects in the literature, however, the values were comparable to those reported by Delori et al 22,23 Retinal vessel oximetry using the described imaging and analysis techniques, especially using recently developed 'snapshot' spectral imaging refinements 41 holds promise for accurate, practical, and non-invasive retinal oximetry measurements.…”

Section: Discussionsupporting

confidence: 82%

Spectral imaging of the retina

Mordant

Alabboud

Muyo

et al. 2011

Eye

107

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Introduction The work described here involved the use of a modified fundus camera to obtain sequential hyperspectral images of the retina in 14 normal volunteers and in 1 illustrative patient with a retinal vascular occlusion. Methods The paper describes analysis techniques, which allow oximetry within retinal vessels; these results are presented as retinal oximetry maps. Results Using spectral images, with wavelengths between 556 and 650 nm, the mean oxygen saturation (OS) value in temporal retinal arterioles in normal volunteers was 104.3 ( ± 16.7), and in normal temporal retinal venules was 34.8 (±17.8). These values are comparable to those quoted in the literature, although, the venular saturations are slightly lower than those values found by other authors; explanations are offered for these differences. Discussion The described imaging and analysis techniques produce a clinically useful map of retinal oximetric values. The results from normal volunteers and from one illustrative patient are presented. Further developments, including the recent development of a 'snapshot' spectral camera, promises enhanced non-invasive retinal vessel oximetry mapping.

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Section: Discussionsupporting

confidence: 82%

Spectral imaging of the retina

Mordant

Alabboud

Muyo

et al. 2011

Eye

107

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“…This yields an underdetermined system operator, specifying how much spatial or spectral detail can be captured from a single snapshot. However, the efficiency of capture far exceeds noncompressive methods of snapshot spectral imaging, include the image mapping spectrometer (IMS) [11] and Lyot filtering [12], where these systems, like CTIS, require very large detector arrays.…”

Section: Introductionmentioning

confidence: 99%

Multiframe image estimation for coded aperture snapshot spectral imagers

et al. 2010

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A coded aperture snapshot spectral imager (CASSI) estimates the three-dimensional spatiospectral data cube from a snapshot two-dimensional coded projection, assuming that the scene is spatially and spectrally sparse. For less spectrally sparse scenes, we show that the use of multiple nondegenerate snapshots can make data cube recovery less ill-posed, yielding improved spatial and spectral reconstruction fidelity. Additionally, data acquisition can be easily scaled to meet the time/resolution requirements of the scene with little modification or extension of the original CASSI hardware. A multiframe reconstruction of a 640 × 480 × 53 voxel datacube with 450-650 nm white-light illumination of a scene reveals substantial improvement in the reconstruction fidelity, with limited increase in acquisition and reconstruction time.

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“…In vivo biomedical imaging of the retina requires snapshot or timeresolved operation and high optical sensitivity [10] . Bulk-optic [14] and fiber-optic [15] high spectral resolution snapshot imaging systems require rearranging a two-dimensional image into a one-dimensional array before being converted to a spectral data cube by the computed tomographic imaging spectrometer.…”

Section: Introductionmentioning

confidence: 99%

Novel, Noninvasive Multispectral Snapshot Imaging System to Measure and Map the Distribution of Human Retinal Vessel and Tissue Hemoglobin Oxygen Saturation

Firn

Khoobehi

2015

International Journal of Ophthalmic Research

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capillary mimicking a vessel. The quantitative calculations from the healthy subject, as well as the qualitative oxygen saturation maps, show oxygen saturation levels consistent with those in the literature. CONCLUSION: This system is clinically valuable for diagnosing and monitoring diseases affecting ocular oxygen saturation, such as glaucoma, diabetic retinopathy, age-related macular degeneration, and others. Our reliable method is capable of documenting tissue oxygenation throughout disease progression. © 2015 ACT. All rights reserved. INTRODUCTIONPathologic conditions in the retina and optic nerve head (ONH) can cause vision loss and blindness. Both structures have a high demand for oxygen, and loss of the normal oxygen supply through vascular insufficiency is believed to play an important role in diseases affecting the retina and ONH. Hypoxia of the retina and ONH is believed to be a factor in the development of ocular vascular disorders, such as diabetic retinopathy (DR), arteriovenous occlusion, and glaucoma. The ability to obtain relative measurements of oxygen saturation in the human ocular fundus could aid in the diagnosis and monitoring of these and other disorders. For example, measurement of changes in retinal and ONH oxygen saturation under controlled conditions could establish relationships among oxygen consumption, ABSTRACT AIM: To design and implement a snapshot imaging system capable of mapping oxygen saturation of retinal vessels and tissue clinically for the first time. MATERIALS AND METHODS: Our image-splitting design is attached to the imaging portions of a fundus camera. A relay subsystem and reimaging system convert reflected white light from the eye into seven monochromatic images simultaneously. Our algorithm uses intensity information at each of these discrete wavelengths to approximate the area between the oxy-and deoxyhemoglobin spectral curves, which has been shown to be proportional to oxygen saturation. We used MATLAB to convert this information into colorcoded oxygen saturation maps of the optic nerve head. We validated our system by using it on a model eye with a capillary of known blood oxygen saturation, then used it In vivo to obtain quantitative values of human oxygen saturation for veins and tissue. RESULTS: By collecting seven images simultaneously with one snapshot, our system is the first to document and reproducibly map oxygen saturation of the retinal vessels and tissue. Oxygen saturation values are color-coded, with oxygen-rich arteries in red, oxygen-poor veins in blue, and intermediate tissue yellow-green. Our system's calculations agree with co-oximeter readings of blood in a model eye

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Generalization of the Lyot filter and its application to snapshot spectral imaging

Cited by 109 publications

References 19 publications

Spectral imaging of the retina

Spectral imaging of the retina

Multiframe image estimation for coded aperture snapshot spectral imagers

Novel, Noninvasive Multispectral Snapshot Imaging System to Measure and Map the Distribution of Human Retinal Vessel and Tissue Hemoglobin Oxygen Saturation

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