Affiliation:
1. Tiangong University
2. Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases
Abstract
Vascular visualization is crucial in monitoring, diagnosing, and treating vascular diseases. Laser speckle contrast imaging (LSCI) is widely used for imaging blood flow in shallow or exposed vessels. However, traditional contrast computation using a fixed-sized sliding window introduces noise. In this paper, we propose dividing the laser speckle contrast image into regions and using the variance criterion to extract pixels more suitable for the corresponding regions for calculation, and changing the shape and size of the analysis window at the vascular boundary regions. Our results show that this method has a higher noise reduction and better image quality in deeper vessel imaging, revealing more microvascular structure information.
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Natural Science Foundation of Tianjin City
Tianjin Municipal Education Commission
Tianjin health and Health Committee Science and Technology Project
Subject
Atomic and Molecular Physics, and Optics,Biotechnology
Cited by
2 articles.
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