Skip to content

Numerical investigation of a frequency-domain model-based method for 3-D transcranial photoacoustic computed tomography

Aug 2026 · Journal of the Acoustical Society of America · Vol 159, pp. A27-A27 · 0 citations

TL;DR

The proposed frequency-domain model-based FDMB method is evaluated against the TR method across various sensor densities, data sampling rates, and perturbations in speed-of-sound maps and sensor locations, highlighting its potential for efficient and accurate 3-D transcranial PACT.

Abstract

Photoacoustic computed tomography (PACT) offers rich optical contrast combined with the penetration depth of ultrasound for transcranial imaging. However, the skull introduces significant phase aberrations that degrade image quality. While the time-reversal (TR) method can mitigate these acoustic barriers, its computational intensity makes it unsuitable for time-sensitive applications. To overcome these limitations, we propose a frequency-domain model-based (FDMB) method. The performance of the FDMB method is evaluated against the TR method across various sensor densities, data sampling rates, and perturbations in speed-of-sound maps and sensor locations using 3-D numerical modeling. The results show that the proposed method is three orders of magnitude faster than the TR method while maintaining better image quality, highlighting its potential for efficient and accurate 3-D transcranial PACT.

View source

Similar papers

Preprint Oct 2026

Towards 3D fully randomized frequency-domain reconstruction of the speed of sound in breast ultrasound computed tomography

Ultrasound computed tomography is emerging as a promising diagnostic imaging tool. 2D geometries suffer from notorious out-of-plane scattering artifacts. Image reconstruction can be achieved with frequency-domain full waveform inversion and it can be further accelerated by randomly phase-encoding the elementary sources...

Luca A. Forte · 0 citations
Aug 2026

A hierarchical framework for robust full-wave inversion in transcranial thermoacoustic tomography

Skull-induced acoustic heterogeneity, multipath propagation, and waveform corruption severely degrade structural reconstruction in transcranial thermoacoustic imaging. Conventional methods such as time-reversal and standard full-wave inversion (FWI) typically assume clean measurements or weak heterogeneity, leading to...

Shuang-Li Liu, Xiangming Zhu, Xin Shang · 0 citations
2026

Exploring the Potential of 3D Ultrasound Reverse Time Migration in Human Brain Imaging

Ultrasound technology has become a major research focus in medical imaging because of its noninvasiveness, cost-effectiveness, and safety. However, due to the physical diffraction limit, conventional ultrasound imaging struggles to satisfy increasing clinical demands for resolution and image quality. Reverse time migra...

Ting Li, B. Feng, Yu-Bing Li et al. · 0 citations
Open access Oct 2026

Phase-aberration-corrected coherence factor beamforming for photoacoustic computed tomography

Abstract. Significance Coherence factor (CF) beamforming can suppress sidelobes in photoacoustic computed tomography, but phase aberration can make genuine absorbers appear incoherent and cause conventional CF to downweight real signals. Aim We aim to reduce photoacoustic volume tomography phase-aberration-induced loss...

Xia-Li Gao, Zhi-Chao Zheng, Zhi-Bo Xiao et al. · 0 citations
Open access Oct 2026

Reconstruction algorithm for optical coherence tomography without requiring k-domain resampling

Axial resolution and speed are critical system parameters in optical coherence tomography (OCT). In conventional image reconstruction, the fast Fourier transform (FFT) and k-domain resampling are required to improve the axial resolution, which would get worse as the depth increases. In this study, a linear relationship...

Hai-Yi Bian, Hong-Nan Duan, Jian-Jian Wu et al. · 0 citations
Preprint Sep 2026

A Unified Frequency-Domain Model for Cascaded Filter-Interpolation Modulation in Tomographic Reconstruction

The fidelity of image reconstruction from projections in linear inverse problems, such as tomography, is critically dependent on the synergistic interaction between frequency-domain filtering and spatial-domain interpolation. However, a physical model that can quantitatively describe how these two components cascade in...

De-Tian Li, Yang Zou, Peng-Hao Geng et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.