Journal
IEEE ACCESS
Volume 9, Issue -, Pages 76730-76737Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3076799
Keywords
Speckle; Cameras; Blood flow; Mobile handsets; Image resolution; Lasers; Interpolation; Laser speckle contrast imaging; image enhancement; mobile phone camera
Categories
Funding
- National Natural Science Foundation of China [11902190]
- Climbing Program from SUMHS [B3-0200-20-311007]
- Construction Project of Shanghai Key Laboratory of Molecular Imaging [18DZ2260400]
- Shanghai Municipal Education Commission (Class II plateau disciplinary construction program of medical technology of SUMHS, 2018-2020)
- Key Program of the National Natural Science Foundation of China [81830052]
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The utilization of smartphone camera systems for laser speckle imaging has enhanced the quality of blood flow imaging. The new speckle contrast analysis method, which involves wavelet decomposition and morphological operations, significantly improves image contrast resolution and visualization.
Laser speckle contrast imaging (LSCI) technology, a type of blood flow monitoring technology, has broad application prospects and has become an attractive subject of research. In recent years, with the popularization of smart phones, mobile healthcare has gradually entered the lives of the general public. In this paper, a camera system used on smart phones was employed to replace the industrial camera on the traditional laser speckle perfusion imager, and the quality of blood flow imaging was improved. Since the difference between the static and dynamic region of the raw speckle image can be reflected in the subbands of wavelet decomposition, the image processing can be performed while retaining the velocity information. Further, a speckle contrast analysis method based on mobile phone cameras is proposed; the method first processes the raw speckle images with a two-dimensional discrete wavelet transform and image interpolation and then performs a morphological operation. This method improved the speckle image contrast resolution and improved the visualization of images. The results showed that the contrast-to-noise ratio (CNR) of the blood perfusion image processed by the new method can be increased by up to 128%.
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