Full-Wave Image Reconstruction in Transcranial Photoacoustic Computed Tomography Using a Finite Element Method

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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Publication Details

Journal
IEEE Transactions on Medical Imaging
Published
2024-09-09
DOI
https://doi.org/10.1109/tmi.2024.3456595
Citations
10
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
1.84

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article

Full-Wave Image Reconstruction in Transcranial Photoacoustic Computed Tomography Using a Finite Element Method

Yousuf Aborahama, Lihong V. Wang, Karteekeya Sastry, Mark A. Anastasio et al.
10 citations
IEEE Transactions on Medical Imaging
Photoacoustic and Ultrasonic Imaging
1.84
article

Full-Wave Image Reconstruction in Transcranial Photoacoustic Computed Tomography Using a Finite Element Method

Yousuf Aborahama, Lihong V. Wang, Karteekeya Sastry, Mark A. Anastasio, Yilin Luo, Joseph Kuo, Umberto Villa, Peng Hu, Hsuan‐Kai Huang, Xin Tong, Shuai Na
article en
10 citations

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.

IEEE Transactions on Medical ImagingVol. 44(2)
California Institute of Technology (US), University of Illinois Urbana-Champaign (US), Peking University (CN), The University of Texas at Austin (US)
National Institutes of Health
Openalex Percentile: Top 15%
Photoacoustic and Ultrasonic Imaging
1.84
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