ArticleIEEE transactions on medical imaging2025
Full-Wave Image Reconstruction in Transcranial Photoacoustic Computed Tomography Using a Finite Element Method.
Article in IEEE transactions on medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Phase-aberration-corrected coherence factor beamforming for photoacoustic computed tomography.Journal of biomedical optics · 2026Article
- Stochastic numerical head phantoms to enable virtual imaging studies of transcranial photoacoustic computed tomography.Photoacoustics · 2026Article
- Data-driven super-resolution optoacoustic imaging via physically encoded signal acquisition.Research square · 2026Article
- Circular-scanning variance delay and sum algorithm for photoacoustic imaging.Biomedical optics express · 2026Article
- De-aberration for noninvasive transcranial photoacoustic computed tomography through an adult human skull.Communications physics · 2026Article
- Clinical translation of photoacoustic imaging using exogenous molecular contrast agents [Invited].Biomedical optics express · 2025Review
- A Frequency-Dependent and Nonlinear, Time-Explicit Five-Layer Human Head Numerical Model for Realistic Estimation of Focused Acoustic Transmission Through the Human Skull for Noninvasive High-Intensity and High-Frequency Transcranial Ultrasound Stimulation: An Application to Neurological and Psychiatric Disorders.Bioengineering (Basel, Switzerland) · 2025Article
- Transcranial Photoacoustic Tomography De-Aberrated Using Boundary Elements.IEEE transactions on medical imaging · 2025Article
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Authors and funding
11 authors.
Funding
Abstract
Transcranial photoacoustic computed tomography presents challenges in human brain imaging due to skull-induced acoustic aberration. Existing full-wave image reconstruction methods rely on a unified elastic wave equa- tion for skull shear and longitudinal wave propagation, therefore demanding substantial computational resources. We propose an efficient discrete imaging model based on finite element discretization. The elastic wave equation for solids is solely applied to the hard-tissue skull region, while the soft-tissue or coupling-medium region that dominates the simulation domain is modeled with the simpler acoustic wave equation for liquids. The solid-liquid interfaces are explicitly modeled with elastic-acoustic coupling. Furthermore, finite element discretization allows coarser, irregular meshes to conform to object geometry. These factors significantly reduce the linear system size by 20 times to facilitate accurate whole-brain simulations with improved speed. We derive a matched forward-adjoint operator pair based on the model to enable integration with various optimization algorithms. We validate the reconstruction framework through numerical simulations and phantom experiments.
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Registered trials
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