Functional extensions of Optical Coherence Tomography (OCT) stand to enhance the value of structural imaging for clinical applications. Polarization sensitive (PS-) OCT and attenuation coefficient imaging provide complementary information useful for interrogating complex tissue microenvironments such as atherosclerotic plaques. However, additional hardware for generating two input polarization states, and enabling angular-diverse measurements, is necessary to fully exploit these two respective techniques. We present a platform for simultaneous, depth-multiplexed acquisition of PS- and angular diverse data, expanding prior methods for fiber-based PS-OCT and aperture-based numerical aperture (NA) multiplexing, and demonstrate its utility in discriminating plaque components in human coronary arteries.
Cerebral microhemorrhages (CMHs) are associated with cognitive impairment and several conditions, diseases, and normal aging processes. Current histological methods manually identify and quantify Prussian blue-stained CMHs, which can take months to complete. To speed up this labor-intensive process, we developed a spectroscopic, semi-automated approach. We used the ratio of the red and green intensities relative to the blue intensity squared to discriminate CMH-pixels from background pixels. We calculated a sensitivity and specificity of 83.75% and 99.74%, respectively. The intraclass correlation coefficient was 0.992 (95% confidence interval: 0.989-0.995). Future studies are needed to test if this approach works in other CMH models.
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