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DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...

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Doppler Optical Coherence Tomography of Retinal Circulation
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Dual acquisition scheme-based optical coherence tomography 3D angiography.

Junxiong Zhou1, Wei Chen1, Jianbo Tang1

  • 1Southern University of Science and Technology, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Shenzhen, China.

Journal of Biomedical Optics
|May 9, 2025
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Summary

This study introduces a novel 3D optical coherence tomography angiography (OCTA) method using a dual acquisition scheme to overcome projection artifacts from large vessels. The technique effectively visualizes fine capillary networks, improving 3D cerebral vascular imaging.

Keywords:
cerebral vasculaturedynamic imagingoptical coherence tomography angiography

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Area of Science:

  • Neuroimaging
  • Biomedical Optics
  • Vascular Biology

Background:

  • Optical coherence tomography angiography (OCTA) offers high-resolution microvasculature imaging but struggles with projection artifacts from large pial vessels.
  • These artifacts obscure underlying microvessels, limiting 3D vascular imaging capabilities in OCTA.

Purpose of the Study:

  • To develop a 3D OCTA method that simultaneously mitigates projection artifacts and enhances capillary network detection.
  • To improve the visualization of cerebral microvasculature for research into related diseases.

Main Methods:

  • A dual data acquisition scheme combining repeated A-scan and B-scan acquisitions was implemented.
  • Optimally oriented flux (OOF) filtering was applied for artifact suppression and capillary detection.
  • Specific processing algorithms were designed for each acquisition mode to address distinct imaging challenges.

Main Results:

  • The dual acquisition scheme effectively suppressed projection artifacts from large pial vessels.
  • High sensitivity for detecting capillary networks was preserved using the repeated B-scan acquisition.
  • The method enabled high-sensitivity 3D imaging of the cerebral vasculature with OOF filtering.

Conclusions:

  • The proposed 3D OCTA method successfully overcomes projection artifact limitations.
  • This technique enhances the visualization of cerebral microvasculature, including fine capillary networks.
  • The method holds significant potential for studying cerebral microvascular dysfunction and related diseases.