ArticleIEEE transactions on medical imaging2023
Location-Dependent Spatiotemporal Antialiasing in Photoacoustic Computed Tomography.
Article in IEEE transactions on medical imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Data-Driven System Matrix Manipulation Enabling Fast Functional Imaging in Tomography.IEEE transactions on medical imaging · 2026Article
- TT-PADM: A Time-Driven Transformer Diffusion Model for Robust Sparse-View and Limited-View Photoacoustic Tomography.BME frontiers · 2026Article
- High-speed photoacoustic and ultrasonic computed tomography of the breast tumor for early diagnosis with enhanced accuracy.Science advances · 2025Article
- X-ray-induced acoustic computed tomography: 3D X-ray absorption imaging from a single view.Science advances · 2024Article
- Challenges and advances in two-dimensional photoacoustic computed tomography: a review.Journal of biomedical optics · 2024Review
- Intraoperative molecular imaging: 3rd biennial clinical trials update.Journal of biomedical optics · 2023Review
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Authors and funding
3 authors.
Funding
Abstract
Photoacoustic computed tomography (PACT) images optical absorption contrast by detecting ultrasonic waves induced by optical energy deposition in materials such as biological tissues. An ultrasonic transducer array or its scanning equivalent is used to detect ultrasonic waves. The spatial distribution of the transducer elements must satisfy the spatial Nyquist criterion; otherwise, spatial aliasing occurs and causes artifacts in reconstructed images. The spatial Nyquist criterion poses different requirements on the transducer elements' distributions for different locations in the image domain, which has not been studied previously. In this research, we elaborate on the location dependency through spatiotemporal analysis and propose a location-dependent spatiotemporal antialiasing method. By applying this method to PACT in full-ring array geometry, we effectively mitigate aliasing artifacts with minimal effects on image resolution in both numerical simulations and in vivo experiments.
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Registered trials
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