Optical coherence tomography angiography

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Optical coherence tomography angiography (OCTA) is a non-invasive biomedical imaging technique that generates detailed, depth-resolved maps of microvasculature — the fine network of tiny blood vessels — without requiring contrast agents or dyes. It works by detecting motion contrast from flowing blood cells using interferometric light signals, producing three-dimensional images of vascular structure at microscopic resolution. In robotics and AI research, OCTA is increasingly paired with robotic scanning systems to overcome its traditional limitation of small imaging fields; robotic platforms enable precise, automated movement across irregular or large sample surfaces, stitching together high-resolution images to capture whole-organ or whole-brain vascular maps. AI and machine learning algorithms further enhance OCTA by automating image segmentation, artifact removal, and vascular feature extraction. This combination matters because it enables researchers and clinicians to study vascular diseases, neurological conditions, and tissue health with unprecedented detail and scale, opening new possibilities for surgical guidance, disease diagnosis, and fundamental neuroscience research.

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Whole Brain Micro-Vascular Imaging Using Robot Assisted Optical Coherence Tomography Angiography

Bin He, Yuxin Zhang, Zhe Meng, Zhijun He, Zhenyu Chen, Zichen Yin, Zhangwei Hu, Yejiong Shi, Chengming Wang, Xiao Zhang, Ning Zhang, Guihuai Wang, Ping Xue

Citations: 23 • 2022