Photoacoustic imaging aided with deep learning: a review

P Rajendran, A Sharma, M Pramanik - Biomedical Engineering Letters, 2022 - Springer
Photoacoustic imaging (PAI) is an emerging hybrid imaging modality integrating the benefits
of both optical and ultrasound imaging. Although PAI exhibits superior imaging capabilities …

High resolution 3D ultrasonic breast imaging by time-domain full waveform inversion

F Lucka, M Pérez-Liva, BE Treeby, BT Cox - Inverse Problems, 2021 - iopscience.iop.org
Ultrasound tomography (UST) scanners allow quantitative images of the human breast's
acoustic properties to be derived with potential applications in screening, diagnosis and …

DeepUCT: Complex cascaded deep learning network for improved ultrasound tomography

S Prasad, M Almekkawy - Physics in Medicine & Biology, 2022 - iopscience.iop.org
Ultrasound computed tomography is an inexpensive and radiation-free medical imaging
technique used to quantify the tissue acoustic properties for advanced clinical diagnosis …

Model-data-driven image reconstruction with neural networks for ultrasound computed tomography breast imaging

Y Fan, H Wang, H Gemmeke, T Hopp, J Hesser - Neurocomputing, 2022 - Elsevier
With the goal of developing an accurate and fast image reconstruction algorithm for
ultrasound computed tomography, we combine elements of model-and data-driven …

A multi-branch deep convolutional fusion architecture for 3D microwave inverse scattering: Stored grain application

V Khoshdel, M Asefi, A Ashraf, J LoVetri - Neural Computing and …, 2021 - Springer
In this paper, a multi-branch deep convolutional fusion architecture is proposed to solve
electromagnetic inverse scattering problems. The conventional methods for solving inverse …

Dl-uct: A deep learning framework for ultrasound computed tomography

S Prasad, M Almekkawy - 2022 IEEE 19th International …, 2022 - ieeexplore.ieee.org
Ultrasound Computed Tomography (UCT) is a non-invasive, inexpensive, radiation-free
medical imaging technique that is capable of resolving soft-tissue structures in the body …

Deep Learning Ultrasound Computed Tomography under Sparse Sampling

X Long, J Chen, W Liu, C Tian - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Ultrasound computed tomography (USCT) is a fast-emerging imaging modality that is
expected to help detect and characterize breast tumors by quantifying the distribution of the …

Deep learning based inversion of locally anisotropic weld properties from ultrasonic array data

J Singh, K Tant, A Mulholland, C MacLeod - Applied Sciences, 2022 - mdpi.com
The ability to reliably detect and characterise defects embedded in austenitic steel welds
depends on prior knowledge of microstructural descriptors, such as the orientations of the …

Deep-learning-based ultrasound sound-speed tomography reconstruction with Tikhonov pseudo-inverse priori

X Qu, C Ren, G Yan, D Zheng, W Tang, S Wang… - Ultrasound in medicine …, 2022 - Elsevier
Ultrasound sound-speed tomography (USST) is a promising technology for breast imaging
and breast cancer detection. Its reconstruction is a complex non-linear mapping from the …

RADD-CycleGAN: unsupervised reconstruction of high-quality ultrasound image based on CycleGAN with residual attention and dual-domain discrimination

M Si, M Wu, Q Wang - Physics in Medicine & Biology, 2024 - iopscience.iop.org
Plane wave (PW) imaging is fast, but limited by poor imaging quality. Coherent PW
compounding (CPWC) improves image quality but decrease frame rate. In this study, we …