Open Access
6 November 2021 SVD-based filtering to detect intraplaque hemorrhage using single wavelength photoacoustic imaging
Roy P. M. van Hees, Jan-Willem Muller, Frans N. van de Vosse, Marcel C. M. Rutten, Marc R. H. M. van Sambeek, Min Wu, Richard G. P. Lopata
Author Affiliations +
Abstract

Significance: Intraplaque hemorrhage (IPH) is an important indicator of plaque vulnerability. Early detection could aid the prevention of stroke.

Aim: We aim to detect IPH with single wavelength PA imaging in vivo and to improve image quality.

Approach: We developed a singular value decomposition (SVD)-based filter to detect the nonstationary and stationary components in ultrasound data. A PA mask was created to detect stationary (IPH) sources. The method was tested ex vivo using phantoms and in vivo in patients.

Results: The flow and IPH channels were successfully separated in the phantom data. We can also detect the PA signals from IPH and reject signals from the carotid lumen in vivo. Generalized contrast-to-noise ratio improved in both ex vivo and in vivo in US imaging.

Conclusions: SVD-based filtering can successfully detect IPH using a single laser wavelength, opening up opportunities for more economical and cost-effective laser sources.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Roy P. M. van Hees, Jan-Willem Muller, Frans N. van de Vosse, Marcel C. M. Rutten, Marc R. H. M. van Sambeek, Min Wu, and Richard G. P. Lopata "SVD-based filtering to detect intraplaque hemorrhage using single wavelength photoacoustic imaging," Journal of Biomedical Optics 26(11), 116003 (6 November 2021). https://doi.org/10.1117/1.JBO.26.11.116003
Received: 21 June 2021; Accepted: 15 October 2021; Published: 6 November 2021
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
In vivo imaging

Signal detection

Image quality

Blood

Image filtering

Digital filtering

Tissues

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