QOCT-Net: A Physics-Informed Neural Network for Intravascular Optical Coherence Tomography Attenuation Imaging

Zheng, Sun; Shuyan, Wang; Yingsa, Hou; Meichen, Sun

doi:10.1109/jbhi.2023.3276422

IEEE J. Biomed. Health Inform.

2023

DOI: 10.1109/jbhi.2023.3276422

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QOCT-Net: A Physics-Informed Neural Network for Intravascular Optical Coherence Tomography Attenuation Imaging

Sun Zheng,

Wang Shuyan,

Hou Yingsa

et al.

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2024

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JQR-Net: joint quantitative reconstruction network for dual-modal photoacoustic and optical coherence tomography imaging

Zheng,

Ranran,

Aoying

2024

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Photoacoustic (PA) and optical coherence tomography (OCT) imaging are complementary imaging modalities with distinct contrast mechanisms, penetration depths, and spatial resolutions. Integrating these two modalities into a dual-modal PA-OCT imaging system enables the simultaneous acquisition of multimodal signals within a single scan. This integration supports quantitative reconstruction of tissue characteristics, offering a more precise and comprehensive analysis than single-modal imaging. In this paper, we propose a deep learning approach for joint quantitative reconstruction in dual-modal PA-OCT imaging, potentially advancing imaging capabilities for detailed tissue examination and disease analysis. We develop a deep neural network that performs end-to-end mapping from photoacoustically induced pressure signals and backscattered OCT signals to parametric images representing the spatial distribution of optical absorption and attenuation coefficients. This network provides both morphological and functional insights. To the best of our knowledge, this is the first deep learning model designed to simultaneously reconstruct multiple tissue characteristic parameters from dual-modal imaging signals, facilitating in-depth tissue characterization.

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JQR-Net: joint quantitative reconstruction network for dual-modal photoacoustic and optical coherence tomography imaging

Zheng,

Ranran,

Aoying

2024

Opt. Express

View full text Add to dashboard Cite

show abstract

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QOCT-Net: A Physics-Informed Neural Network for Intravascular Optical Coherence Tomography Attenuation Imaging

Cited by 1 publication

References 51 publications

JQR-Net: joint quantitative reconstruction network for dual-modal photoacoustic and optical coherence tomography imaging

JQR-Net: joint quantitative reconstruction network for dual-modal photoacoustic and optical coherence tomography imaging

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