Poster + Paper
20 November 2024 Study on the space domain contrast optimization algorithm in laser speckle contrast imaging
Guang Han, Jixin Yuan, Jie Lu, De Li, Qinglong Yang, Jun Zhang, Yuwang Cao
Author Affiliations +
Conference Poster
Abstract
Laser speckle contrast imaging (LSCI) stands as a critical imaging modality capable of real-time acquisition of dynamic blood flow information, finding extensive utility in clinical and experimental settings requiring prompt feedback. While traditional Reflect Laser Speckle Contrast Imaging (R-LSCI) excels in superficial vascular imaging, Transmissive Laser Speckle Contrast Imaging (T-LSCI) offers superior performance in imaging deeper vascular structures. In this study, to harness the complementary strengths of R-LSCI and T-LSCI, we introduce a novel approach: the space domain contrast optimization algorithm. This method integrates laser speckle contrast images captured under both conditions through spatial domain processing and optimized contrast ratio selection. Our results demonstrate that the proposed method enhances vascular visualization and achieves superior vascular imaging outcomes when compared to R-LSCI and T-LSCI under space contrast (sK), a spatial domain method.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Guang Han, Jixin Yuan, Jie Lu, De Li, Qinglong Yang, Jun Zhang, and Yuwang Cao "Study on the space domain contrast optimization algorithm in laser speckle contrast imaging", Proc. SPIE 13242, Optics in Health Care and Biomedical Optics XIV, 132421N (20 November 2024); https://doi.org/10.1117/12.3035216
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KEYWORDS
Speckle

Laser speckle contrast imaging

Blood circulation

Image segmentation

Biological imaging

Image processing

Reflection

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