Adaptive window space direction laser speckle contrast imaging to improve vascular visualization

Guang Han; De Li; Jiwei Wang; Qianbei Guo; Jixin Yuan; Ruijuan Chen; Jinhai Wang; Huiquan Wang; Jun Zhang

doi:10.1364/BOE.488054

Adaptive window space direction laser speckle contrast imaging to improve vascular visualization

Biomed Opt Express. 2023 Jun 1;14(6):3086-3099. doi: 10.1364/BOE.488054.

Authors

Guang Han^{1

2}, De Li¹, Jiwei Wang³, Qianbei Guo⁴, Jixin Yuan¹, Ruijuan Chen^{1

2}, Jinhai Wang^{1

2}, Huiquan Wang^{1

2}, Jun Zhang^{1

2}

Affiliations

¹ School of life Sciences, Tiangong University, Tianjin, 300387, China.
² Tianjin Key Laboratory of Quality Control and Evaluation Technology for Medical Devices, Tianjin 300387, China.
³ Departments of Neurosurgery, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin, 300350, China.
⁴ School of Electrical and Electronic Engineering, Tiangong University, Tianjin 300387, China.

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.