Medical robotics for ultrasound imaging: current systems and future trends

F von Haxthausen, S Böttger, D Wulff, J Hagenah… - Current robotics …, 2021 - Springer
Abstract Purpose of Review This review provides an overview of the most recent robotic
ultrasound systems that have contemporary emerged over the past five years, highlighting …

Real-time intrafraction motion monitoring in external beam radiotherapy

J Bertholet, A Knopf, B Eiben… - Physics in medicine …, 2019 - iopscience.iop.org
Radiotherapy (RT) aims to deliver a spatially conformal dose of radiation to tumours while
maximizing the dose sparing to healthy tissues. However, the internal patient anatomy is …

Radiological diagnosis of chronic liver disease and hepatocellular carcinoma: A review

S Singh, S Hoque, A Zekry, A Sowmya - Journal of Medical Systems, 2023 - Springer
Medical image analysis plays a pivotal role in the evaluation of diseases, including
screening, surveillance, diagnosis, and prognosis. Liver is one of the major organs …

[HTML][HTML] Modern image-guided surgery: A narrative review of medical image processing and visualization

Z Lin, C Lei, L Yang - Sensors, 2023 - mdpi.com
Medical image analysis forms the basis of image-guided surgery (IGS) and many of its
fundamental tasks. Driven by the growing number of medical imaging modalities, the …

[HTML][HTML] Cascaded one-shot deformable convolutional neural networks: Develo** a deep learning model for respiratory motion estimation in ultrasound sequences

F Liu, D Liu, J Tian, X **e, X Yang, K Wang - Medical image analysis, 2020 - Elsevier
Improving the quality of image-guided radiation therapy requires the tracking of respiratory
motion in ultrasound sequences. However, the low signal-to-noise ratio and the artifacts in …

Towards automated ultrasound imaging—robotic image acquisition in liver and prostate for long-term motion monitoring

S Ipsen, D Wulff, I Kuhlemann… - Physics in Medicine & …, 2021 - iopscience.iop.org
Abstract Real-time volumetric (4D) ultrasound has shown high potential for diagnostic and
therapy guidance tasks. One of the main drawbacks of ultrasound imaging to date is the …

An upgraded siamese neural network for motion tracking in ultrasound image sequences

S Bharadwaj, S Prasad… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Deep learning is heavily being borrowed to solve problems in medical imaging applications,
and Siamese neural networks are the front runners of motion tracking. In this article, we …

Siamese networks with location prior for landmark tracking in liver ultrasound sequences

A Gomariz, W Li, E Ozkan, C Tanner… - 2019 IEEE 16th …, 2019 - ieeexplore.ieee.org
Image-guided radiation therapy can benefit from accurate motion tracking by ultrasound
imaging, in order to minimize treatment margins and radiate moving anatomical targets, eg …

Deep learning‐based motion tracking using ultrasound images

X Dai, Y Lei, J Roper, Y Chen, JD Bradley… - Medical …, 2021 - Wiley Online Library
Purpose Ultrasound (US) imaging is an established imaging modality capable of offering
video‐rate volumetric images without ionizing radiation. It has the potential for intra‐fraction …

Bi-fusion of structure and deformation at multi-scale for joint segmentation and registration

J Zhang, T Fu, D **ao, J Fan, H Song… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Medical image segmentation and registration are two fundamental and highly related tasks.
However, current works focus on the mutual promotion between the two at the loss function …