SVD-based filtering to detect intraplaque hemorrhage using single wavelength photoacoustic imaging

Roy van Hees; Jan Willem Muller; Frans van de Vosse; Marcel Rutten; Marc van Sambeek; Min Wu; Richard Lopata

doi:10.1117/1.JBO.26.11.116003

SVD-based filtering to detect intraplaque hemorrhage using single wavelength photoacoustic imaging

Roy van Hees (Corresponding author), Jan Willem Muller, Frans van de Vosse, Marcel Rutten, Marc van Sambeek, Min Wu, Richard Lopata

Research output: Contribution to journal › Article › Academic › peer-review

4 Citations (Scopus)

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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.

Original language	English
Article number	116003
Number of pages	16
Journal	Journal of Biomedical Optics
Volume	26
Issue number	11
DOIs	https://doi.org/10.1117/1.JBO.26.11.116003
Publication status	Published - 1 Nov 2021

Funding

This project has received funding from the European Union’s Horizon 2020 research and innovation program under Grant Agreement No 731771, Photonics Public Private Partnership, and is supported by the Swiss State Secretariat for Education, Research and Innovation (SERI) under Contract Number 16.0160. I would like to thank Peter Brands for his leadership, guidance, positive energy, and providing technical insight during the CVENT project. I would also like to express gratitude to Catarina Matos, for the great work she did to provide us with histology data.

Keywords

intraplaque hemorrhage
photoacoustic imaging
single wavelength
singular value decomposition

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10.1117/1.JBO.26.11.116003

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Cite this

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title = "SVD-based filtering to detect intraplaque hemorrhage using single wavelength photoacoustic imaging",

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.",

keywords = "intraplaque hemorrhage, photoacoustic imaging, single wavelength, singular value decomposition",

author = "{van Hees}, Roy and Muller, {Jan Willem} and {van de Vosse}, Frans and Marcel Rutten and {van Sambeek}, Marc and Min Wu and Richard Lopata",

note = "Funding Information: This project has received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation program under Grant Agreement No 731771, Photonics Public Private Partnership, and is supported by the Swiss State Secretariat for Education, Research and Innovation (SERI) under Contract Number 16.0160. I would like to thank Peter Brands for his leadership, guidance, positive energy, and providing technical insight during the CVENT project. I would also like to express gratitude to Catarina Matos, for the great work she did to provide us with histology data. Publisher Copyright: {\textcopyright} 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.",

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AU - van Hees, Roy

AU - Muller, Jan Willem

AU - van de Vosse, Frans

AU - Rutten, Marcel

AU - van Sambeek, Marc

AU - Wu, Min

AU - Lopata, Richard

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PY - 2021/11/1

Y1 - 2021/11/1

N2 - 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.

AB - 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.

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SVD-based filtering to detect intraplaque hemorrhage using single wavelength photoacoustic imaging

Abstract

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Cardiovascular Medicine

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SVD-based filtering to detect intraplaque hemorrhage using single wavelength photoacoustic imaging

Abstract

Funding

Keywords

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Research areas

Cardiovascular Medicine

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