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We use Fourier domain optical coherence tomography (OCT) data to assess retinal blood oxygen saturation. Three-dimensional disk-centered retinal tissue volumes were assessed in 17 normal healthy subjects. After removing DC and low-frequency a-scan components, an OCT fundus image was created by integrating total reflectance into a single reflectance value. Thirty fringe patterns were sampled; 10 each from the edge of an artery, adjacent tissue, and the edge of a vein, respectively. A-scans were recalculated, zeroing the DC term in the power spectrum, and used for analysis. Optical density ratios (ODRs) were calculated as ODRArt=ln(Tissue855/Art855)/ln(Tissue805/Art805) and ODRVein=ln(Tissue855/Vein855)/ln(Tissue805/Vein805) with Tissue, Art, and Vein representing total a-scan reflectance at the 805- or 855-nm centered bandwidth. Arterial and venous ODRs were compared by the Wilcoxon signed rank test. Arterial ODRs were significantly greater than venous ODRs (1.007±2.611 and −1.434±4.310, respectively; p=0.0217) (mean±standard deviation). A difference between arterial and venous blood saturation was detected. This suggests that retinal oximetry may possibly be added as a metabolic measurement in structural imaging devices. [ABSTRACT FROM AUTHOR]

We present a computationally efficient, semiautomated method for analysis of posterior retinal layers in three-dimensional (3-D) images obtained by spectral optical coherence tomography (SOCT). The method consists of two steps: segmentation of posterior retinal layers and analysis of their thickness and distance from an outer retinal contour (ORC), which is introduced to approximate the normal position of external interface of the healthy retinal pigment epithelium (RPE). The algorithm is shown to effectively segment posterior retina by classifying every pixel in the SOCT tomogram using the similarity of its surroundings to a reference set of model pixels from user-selected area(s). Operator intervention is required to assess the quality of segmentation. Thickness and distance maps from the segmented layers and their analysis are presented for healthy and pathological retinas. [ABSTRACT FROM AUTHOR]

Optical coherence tomography (OCT) is an emerging medical imaging technology that enables high-resolution, noninvasive, cross-sectional imaging of microstructure in biological tissues in situ and in real time. When combined with small-diameter catheters or needle probes, OCT offers a practical tool for the minimally invasive imaging of living tissue morphology. We evaluate the ability of OCT to image normal kidneys and discriminate pathological changes in kidney structure. Both control and experimental preserved rat kidneys were examined ex vivo by using a high-resolution OCT imaging system equipped with a laser light source at 1.3-μm wavelength. This system has a resolution of 3.3 μm (depth) by 6 μm (transverse). OCT imaging produced cross-sectional and en face images that revealed the sizes and shapes of the uriniferous tubules and renal corpuscles. OCT data revealed significant changes in the uriniferous tubules of kidneys preserved following an ischemic or toxic (i.e., mercuric chloride) insult. OCT data was also rendered to produce informative three-dimensional (3-D) images of uriniferous tubules and renal corpuscles. The foregoing observations suggest that OCT can be a useful non-excisional, real-time modality for imaging pathological changes in donor kidney morphology prior to transplantation. [ABSTRACT FROM AUTHOR]