Advanced flow dynamics mapping through volumetric photoacoustic particle velocimetry

Flow field analysis is vital for biomedical applications such as drug delivery, dosage optimization, and hemodynamic studies. Conventional optical Particle Image Velocimetry (PIV) struggles with dynamic three-dimensional analysis in turbid media. This study introduces a photoacoustic volumetric particle image velocimetry (PAV-PIV) system to address these challenges, enabling rapid three-dimensional flow field reconstruction in optically opaque environments without complex calibration. Vascular phantoms made from silicone, polyurethane, and agarose were tested, with the optimal material selected based on acoustic impedance contrast. Nickel-coated polystyrene particles served as tracers, uniformly dispersed in the fluid. Particle displacement was measured at 20 ms intervals, allowing for flow field analysis, including velocity and vorticity distributions. Reconstructed three-dimensional photoacoustic signals demonstrated superior imaging quality in turbid media, with detailed flow field characteristics derived from the best-quality images. The system's performance and measurement precision were further evaluated. Results confirm that the PAV-PIV system effectively overcomes the limitations of traditional optical methods, offering robust and dynamic flow field analysis in challenging environments. This approach shows great potential for advancing real-time biomedical applications requiring the analysis of complex flow behaviors.

Authors

Institutions

Publication Details

Published
2025-01-10
DOI
https://doi.org/10.1117/12.3057927
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced flow dynamics mapping through volumetric photoacoustic particle velocimetry

Xuanhao Wang, Junhui Shi, Xiang Gao, Zhibo Xiao
Photoacoustic and Ultrasonic Imaging
article

Advanced flow dynamics mapping through volumetric photoacoustic particle velocimetry

Xuanhao Wang, Junhui Shi, Xiang Gao, Zhibo Xiao
article en

Abstract

Flow field analysis is vital for biomedical applications such as drug delivery, dosage optimization, and hemodynamic studies. Conventional optical Particle Image Velocimetry (PIV) struggles with dynamic three-dimensional analysis in turbid media. This study introduces a photoacoustic volumetric particle image velocimetry (PAV-PIV) system to address these challenges, enabling rapid three-dimensional flow field reconstruction in optically opaque environments without complex calibration. Vascular phantoms made from silicone, polyurethane, and agarose were tested, with the optimal material selected based on acoustic impedance contrast. Nickel-coated polystyrene particles served as tracers, uniformly dispersed in the fluid. Particle displacement was measured at 20 ms intervals, allowing for flow field analysis, including velocity and vorticity distributions. Reconstructed three-dimensional photoacoustic signals demonstrated superior imaging quality in turbid media, with detailed flow field characteristics derived from the best-quality images. The system's performance and measurement precision were further evaluated. Results confirm that the PAV-PIV system effectively overcomes the limitations of traditional optical methods, offering robust and dynamic flow field analysis in challenging environments. This approach shows great potential for advancing real-time biomedical applications requiring the analysis of complex flow behaviors.

Zhejiang Lab (CN), Zhejiang University (CN)
Affordable and clean energy
Openalex Percentile: Top 100%
Photoacoustic and Ultrasonic Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Advanced flow dynamics mapping through volumetric photoacoustic particle velocimetry — Xuanhao Wang, Junhui Shi, et al. · (2025) | TGRS Research Map | TGRS