ArticleJournal of biomedical optics2022
Multi-segmented feature coupling for jointly reconstructing initial pressure and speed of sound in photoacoustic computed tomography.
Article in Journal of biomedical optics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Noninvasive photoacoustic computed mesoscopy for longitudinal brain imaging.Science advances · 2026Article
- Cross-regional real-time visualization of systemic physiology and dynamics with 3D panoramic photoacoustic computed tomography (3D-PanoPACT).Nature communications · 2025Article
- Reconstructing multiple initial pressure and speed of sound distributions simultaneously in photoacoustic tomography.Photoacoustics · 2025Article
- Signal-domain speed-of-sound correction for ring-array-based photoacoustic tomography.Photoacoustics · 2025Article
- Learning-based sound speed estimation and aberration correction for linear-array photoacoustic imaging.Photoacoustics · 2024Article
- Challenges and advances in two-dimensional photoacoustic computed tomography: a review.Journal of biomedical optics · 2024Review
- Compensating unknown speed of sound in learned fast 3D limited-view photoacoustic tomography.Photoacoustics · 2024Article
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Authors and funding
7 authors.
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Abstract
significancePhotoacoustic computed tomography (PACT) is a fast-growing imaging modality. In PACT, the image quality is degraded due to the unknown distribution of the speed of sound (SoS). Emerging initial pressure (IP) and SoS joint-reconstruction methods promise reduced artifacts in PACT. However, previous joint-reconstruction methods have some deficiencies. A more effective method has promising prospects in preclinical applications.
aimWe propose a multi-segmented feature coupling (MSFC) method for SoS-IP joint reconstruction in PACT. APPROACH: In the proposed method, the ultrasound detectors were divided into multiple sub-arrays with each sub-array and its opposite counterpart considered to be a pair. The delay and sum algorithm was then used to reconstruct two images based on a subarray pair and estimated a direction-specific SoS, based on image correlation and the orientation of the subarrays. Once the data generated by all pairs of subarrays were processed, an image that was optimized in terms of minimal feature splitting in all directions was generated. Further, based on the direction-specific SoS, a model-based method was used to directly reconstruct the SoS distribution.
resultsBoth phantom and animal experiments demonstrated feasibility and showed promising results compared with conventional methods, with less splitting and blurring and fewer distortions.
conclusionsThe developed MSFC method shows promising results for both IP and SoS reconstruction. The MSFC method will help to optimize the image quality of PACT in clinical applications.
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