Presentation
5 March 2021 Spectroscopic based approach to identify and quantify cerebral microhemorrhages
Author Affiliations +
Abstract
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.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christian Crouzet, Gwangjin Jeong, Rachel H. Chae, Krystal LoPresti, Cody E. Dunn, Danny Xie, Chiagoziem Agu, Ane C. F. Nunes, Wei Ling Lau, Sehwan Kim, David H. Cribbs, Mark Fisher, and Bernard Choi "Spectroscopic based approach to identify and quantify cerebral microhemorrhages", Proc. SPIE 11647, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XIX, 116470H (5 March 2021); https://doi.org/10.1117/12.2577039
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KEYWORDS
Image segmentation

Spectroscopy

RGB color model

Brain

Cameras

Mouse models

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