Multi-frame pixel intensity consistency-based artifact reduction for photoacoustic computed tomography

Photoacoustic computed tomography (PACT) is an advanced imaging modality that combines the strengths of ultrasound and optical imaging, showing great promise for preclinical or clinical applications. However, image quality in PACT is often compromised by artifacts, which are typically unavoidable during reconstruction. To address this issue, we propose a novel artifact reduction algorithm that achieves dynamic artifact reduction via pixel intensity consistency. This method is based on the key physical observation that artifacts change with variations in the relative positions between true anatomical structures and the transducer array, whereas the reconstructed intensities of true features remain largely consistent. By exploiting the differential sensitivity of artifacts and true features to target motion, it effectively distinguishes artifact regions from true features, leading to robust artifact reduction. Compared with other single-frame-based algorithms, numerical simulation results verify that our method achieves the highest SSIM and PSNR values relative to the ground truth. Furthermore, in a 600-frame RF dataset, the proposed approach exhibits an approximately 100-fold enhancement in average per-frame processing speed compared with the conventional state-of-the-art artifact reduction method, thereby emerging as a promising candidate for enabling real-time artifact reduction in PACT.

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Publication Details

Journal
Biomedical Optics Express
Published
2026-04-17
DOI
https://doi.org/10.1364/boe.593136
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-frame pixel intensity consistency-based artifact reduction for photoacoustic computed tomography

Zeyu Ma, Lidai Wang, Jiangbo Chen, xiaobin hong et al.
Biomedical Optics Express
Photoacoustic and Ultrasonic Imaging
article

Multi-frame pixel intensity consistency-based artifact reduction for photoacoustic computed tomography

Zeyu Ma, Lidai Wang, Jiangbo Chen, xiaobin hong, Bin Li, Rifu Yang, Zheng Qu, Bin Ouyang
article en

Abstract

Photoacoustic computed tomography (PACT) is an advanced imaging modality that combines the strengths of ultrasound and optical imaging, showing great promise for preclinical or clinical applications. However, image quality in PACT is often compromised by artifacts, which are typically unavoidable during reconstruction. To address this issue, we propose a novel artifact reduction algorithm that achieves dynamic artifact reduction via pixel intensity consistency. This method is based on the key physical observation that artifacts change with variations in the relative positions between true anatomical structures and the transducer array, whereas the reconstructed intensities of true features remain largely consistent. By exploiting the differential sensitivity of artifacts and true features to target motion, it effectively distinguishes artifact regions from true features, leading to robust artifact reduction. Compared with other single-frame-based algorithms, numerical simulation results verify that our method achieves the highest SSIM and PSNR values relative to the ground truth. Furthermore, in a 600-frame RF dataset, the proposed approach exhibits an approximately 100-fold enhancement in average per-frame processing speed compared with the conventional state-of-the-art artifact reduction method, thereby emerging as a promising candidate for enabling real-time artifact reduction in PACT.

Biomedical Optics ExpressVol. 17(5)
City University of Hong Kong (HK), Shantou Ultrasonic Instrument Research Institute (CN)
Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 17%
Photoacoustic and Ultrasonic Imaging
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