[HTML][HTML] Aberration correction in diagnostic ultrasound: A review of the prior field and current directions

R Ali, T Brevett, L Zhuang, H Bendjador… - … für Medizinische Physik, 2023 - Elsevier
Medical ultrasound images are reconstructed with simplifying assumptions on wave
propagation, with one of the most prominent assumptions being that the imaging medium is …

[HTML][HTML] Ultrasound signal processing: from models to deep learning

B Luijten, N Chennakeshava, YC Eldar… - Ultrasound in medicine …, 2023 - Elsevier
Medical ultrasound imaging relies heavily on high-quality signal processing to provide
reliable and interpretable image reconstructions. Conventionally, reconstruction algorithms …

Investigating pulse-echo sound speed estimation in breast ultrasound with deep learning

WA Simson, M Paschali, V Sideri-Lampretsa, N Navab… - Ultrasonics, 2024 - Elsevier
Ultrasound is an adjunct tool to mammography that can quickly and safely aid physicians in
diagnosing breast abnormalities. Clinical ultrasound often assumes a constant sound speed …

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 …

Speed-of-sound imaging using diverging waves

R Rau, D Schweizer, V Vishnevskiy… - International journal of …, 2021 - Springer
Purpose. Due to its safe, low-cost, portable, and real-time nature, ultrasound is a prominent
imaging method in computer-assisted interventions. However, typical B-mode ultrasound …

Deep learning for ultrasound speed-of-sound reconstruction: Impacts of training data diversity on stability and robustness

FK Jush, M Biele, PM Dueppenbecker… - arXiv preprint arXiv …, 2022 - arxiv.org
Ultrasound b-mode imaging is a qualitative approach and diagnostic quality strongly
depends on operators' training and experience. Quantitative approaches can provide …

[HTML][HTML] Analytical estimation of beamforming speed-of-sound using transmission geometry

CD Bezek, O Goksel - Ultrasonics, 2023 - Elsevier
Most ultrasound imaging techniques necessitate the fundamental step of converting
temporal signals received from transducer elements into a spatial echogenecity map. This …

Data-driven speed-of-sound reconstruction for medical ultrasound: impacts of training data format and imperfections on convergence

F Khun Jush, PM Dueppenbecker, A Maier - Medical Image Understanding …, 2021 - Springer
B-mode imaging is a qualitative method and its interpretation depends on users' experience.
Quantitative tissue information can increase precision and decrease user ambiguity. For …

Learning the imaging model of speed-of-sound reconstruction via a convolutional formulation

CD Bezek, M Haas, R Rau… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Speed-of-sound (SoS) is an emerging ultrasound contrast modality, where pulse-echo
techniques using conventional transducers offer multiple benefits. For estimating tissue SoS …

Hessian Initialization Strategies for -BFGS Solving Non-linear Inverse Problems

HO Aggrawal, J Modersitzki - … Conference on Scale Space and Variational …, 2021 - Springer
Abstract ℓ-BFGS is the state-of-the-art optimization method for many large scale inverse
problems. It has a small memory footprint and achieves superlinear convergence. The …