Open Access
20 January 2025 Low-cost microvascular phantom for photoacoustic imaging using loofah
Jinhua Xu, Yixiao Lin, Sanskar Thakur, Haolin Nie, Lukai Wang, Quing Zhu
Author Affiliations +
Abstract

Significance

Existing photoacoustic phantoms are unable to mimic complex microvascular structures with varying sizes and distributions. A suitable material with structures that mimic intricate microvascular networks is needed.

Aim

Our aim is to introduce loofah as a natural phantom material with complex fiber networks ranging from 50 to 300 μm, enabling the fabrication of phantoms with controlled optical properties comparable to those of human microvasculature.

Approach

By introducing a controllable chromophore into the loofah material, we controlled its absorption properties. The loofah’s vasculature-mimetic capabilities and stability in photoacoustic signal generation were evaluated using co-registered ultrasound, acoustic-resolution photoacoustic microscopy (ARPAM), and optical-resolution photoacoustic microscopy (ORPAM).

Results

ORPAM results confirmed the loofah’s ability to control chromophore distribution, leading to consistent and regulated photoacoustic signals. ARPAM results demonstrated that the loofah phantom effectively replicates vascular structures, exhibiting superior performance in mimicking microvascular networks compared with commonly used tissue-mimetic phantoms. The dominant diameter range of the phantom’s microvasculature was between 100 and 250 μm, aligning well with the targeted range and facilitating meaningful comparisons with human vascular structures.

Conclusions

The loofah material provides a low-cost and effective method for creating submillimeter microvascular phantoms for photoacoustic imaging. Its exceptional morphology and customizability allow it to be shaped into various vascular network configurations, enhancing the fidelity of phantom imaging and assisting in system calibration and validation. In addition, data obtained from this realistic microvascular phantom can offer greater opportunities for training machine learning models.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Funding Statement

Jinhua Xu, Yixiao Lin, Sanskar Thakur, Haolin Nie, Lukai Wang, and Quing Zhu "Low-cost microvascular phantom for photoacoustic imaging using loofah," Journal of Biomedical Optics 30(1), 016006 (20 January 2025). https://doi.org/10.1117/1.JBO.30.1.016006
Received: 13 November 2024; Accepted: 24 December 2024; Published: 20 January 2025
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KEYWORDS
Photoacoustic imaging

Tissues

Imaging systems

Photoacoustic spectroscopy

Chromophores

Optical properties

Photoacoustic microscopy

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