Single-pass volumetric bidirectional blood flow imaging spectral domain optical coherence tomography using a modified...

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Ophthalmology

Background:

• Accurate in vivo blood flow imaging is crucial for diagnosing and monitoring various medical conditions.
• Current methods for volumetric blood flow mapping often require manual segmentation, which is time-consuming and prone to errors.

Purpose of the Study:

• To demonstrate a novel single-pass flow imaging spectral domain optical coherence tomography (f-SD-OCT) technique for in vivo volumetric bidirectional blood flow imaging.
• To enable automated, segmentation-free volumetric blood flow mapping in animal models.

Main Methods:

• Utilized a modified Hilbert transform algorithm within the f-SD-OCT framework to differentiate moving and non-moving scatterers.
• Developed a reconstruction method that maps blood flow components into opposite image half-planes for bidirectional visualization.
• Applied the technique to animal models for in vivo imaging.

Main Results:

• Successfully achieved in vivo volumetric bidirectional blood flow imaging in animal models.
• The modified Hilbert transform algorithm effectively separated moving and non-moving scatterers.
• The reconstructed images provided a clear map of blood flow components without the need for manual segmentation.

Conclusions:

• The developed f-SD-OCT technique offers a powerful, automated solution for in vivo volumetric bidirectional blood flow imaging.
• This advancement has the potential to improve the diagnosis and monitoring of diseases affecting blood flow.
• The segmentation-free approach simplifies the analysis and enhances the efficiency of blood flow imaging studies.