Affiliation:
1. College of Optical Science and Engineering, Zhejiang University
2. College of Medicine, Zhejiang University
3. Jiaxing Key Laboratory of Photonic Sensing & Intelligent Imaging
4. Intelligent Optics & Photonics Research Center, Jiaxing Research Institute, Zhejiang University
Abstract
Dynamic OCT angiography (OCTA) is an attractive approach for monitoring
stimulus-evoked hemodynamics; however, a 4D (3D space and time)
dataset requires a long acquisition time and has a large data size,
thereby posing a great challenge to data processing. This study
proposed a GPU-based real-time data processing pipeline for dynamic
inverse SNR-decorrelation OCTA (ID-OCTA), offering a measured
line-process rate of 133 kHz for displaying OCT and OCTA
cross-sections in real time. Real-time processing enabled automatic
optimization of angiogram quality, which improved the vessel SNR,
contrast-to-noise ratio, and connectivity by 14.37, 14.08, and
9.76%, respectively. Furthermore, motion-contrast 4D
angiographic imaging of stimulus-evoked hemodynamics was achieved
within a single trail in the mouse retina. Consequently, a flicker
light stimulus evoked an apparent dilation of the retinal arterioles
and venules and an elevation of the decorrelation value in the retinal
plexuses. Therefore, GPU ID-OCTA enables real-time and high-quality
angiographic imaging and is particularly suitable for hemodynamic
studies.
Funder
National Natural Science Foundation of
China
Natural Science Foundation of Zhejiang Province
Zhejiang Lab
National Key Research and Development
Program of China
the MOE Frontier Science Center for Brain
Science & Brain-Machine Integration, Zhejiang
University
Subject
Atomic and Molecular Physics, and Optics,Biotechnology
Cited by
6 articles.
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