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Related Experiment Video

Updated: Jul 9, 2025

Multispectral Optoacoustic Tomography for Functional Imaging in Vascular Research

Multispectral Optoacoustic Tomography for Functional Imaging in Vascular Research

Published on: June 8, 2022

Photoacoustic vector tomography for deep haemodynamic imaging.

Yang Zhang¹, Joshua Olick-Gibson¹, Anjul Khadria¹

¹Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.

Nature Biomedical Engineering

|November 30, 2023

Summary

This study introduces photoacoustic vector tomography (PAVT), a novel imaging method. PAVT non-invasively visualizes deep blood flow in vessels over 5mm below the skin, advancing vascular diagnostics.

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Last Updated: Jul 9, 2025

Multispectral Optoacoustic Tomography for Functional Imaging in Vascular Research

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Published on: June 8, 2022

Dual Raster-Scanning Photoacoustic Small-Animal Imager for Vascular Visualization

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Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging

Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging

Published on: March 2, 2015

Area of Science:

Biomedical Optics
Medical Imaging
Hemodynamics

Background:

Non-invasive deep hemodynamic imaging is challenging.
Optical imaging is limited to superficial depths (<1 mm).
Existing methods struggle to quantify deep blood flow speed and direction.

Purpose of the Study:

To overcome the optical diffusion limit for deep hemodynamic imaging.
To develop a method for non-invasive quantification of blood flow in deep vessels.
To introduce photoacoustic vector tomography (PAVT) for hemodynamic assessment.

Main Methods:

Leveraging blood's spatial heterogeneity and photoacoustic contrast.
Utilizing successive single-shot wide-field photoacoustic images.
Estimating pixel-wise blood flow speed and direction from image sequences.

Main Results:

Successfully visualized and quantified hemodynamics in deep veins (>5 mm).
Demonstrated PAVT's capability in human hands and arms.
Achieved pixel-wise estimation of blood flow speed and direction.

Conclusions:

PAVT breaks the optical diffusion limit for deep hemodynamic imaging.
PAVT enables non-invasive quantification of deep vascular blood flow.
PAVT holds promise for diagnosing vascular diseases and mapping circulatory function.