A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond

J Chen, Y Liu, S Wei, Z Bian, S Subramanian… - Medical Image …, 2024 - Elsevier
Deep learning technologies have dramatically reshaped the field of medical image
registration over the past decade. The initial developments, such as regression-based and U …

Current research status of respiratory motion for thorax and abdominal treatment: a systematic review

Y Wu, Z Wang, Y Chu, R Peng, H Peng, H Yang, K Guo… - Biomimetics, 2024 - mdpi.com
Malignant tumors have become one of the serious public health problems in human safety
and health, among which the chest and abdomen diseases account for the largest …

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

F Liu, D Liu, J Tian, X Xie, 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 …

ORRN: An ODE-based recursive registration network for deformable respiratory motion estimation with lung 4DCT images

X Liang, S Lin, F Liu, D Schreiber… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Objective: Deformable Image Registration (DIR) plays a significant role in quantifying
deformation in medical data. Recent Deep Learning methods have shown promising …

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 …

Real-time 2D-3D deformable registration with deep learning and application to lung radiotherapy targeting

MD Foote, BE Zimmerman, A Sawant… - Information Processing in …, 2019 - Springer
Radiation therapy presents a need for dynamic tracking of a target tumor volume. Fiducial
markers such as implanted gold seeds have been used to gate radiation delivery but the …

Real‐time 3D MRI reconstruction from cine‐MRI using unsupervised network in MRI‐guided radiotherapy for liver cancer

R Wei, J Chen, B Liang, X Chen, K Men… - Medical Physics, 2023 - Wiley Online Library
Purpose Respiration has a major impact on the accuracy of radiation treatment for thorax
and abdominal tumours. Instantaneous volumetric imaging could provide precise …

In situ tissue pathology from spatially encoded mass spectrometry classifiers visualized in real time through augmented reality

M Woolman, J Qiu, CM Kuzan-Fischer, I Ferry… - Chemical …, 2020 - pubs.rsc.org
Integration between a hand-held mass spectrometry desorption probe based on picosecond
infrared laser technology (PIRL-MS) and an optical surgical tracking system demonstrates in …

[Retracted] Comparative Analysis of Real‐Time Dynamic Ultrasound and Magnetic Resonance Imaging in the Diagnosis of Rotator Cuff Tear Injury

X Zhang, X Gu, L Zhao - Evidence‐Based Complementary and …, 2021 - Wiley Online Library
Objective. To explore the value of real‐time dynamic ultrasound and magnetic resonance
imaging (MRI) in the diagnosis of rotator cuff injury. Methods. From January 2020 to June …

Landmark tracking in liver US images using cascade convolutional neural networks with long short-term memory

Y Zhang, X Dai, Z Tian, Y Lei, JF Wynne… - Measurement …, 2023 - iopscience.iop.org
Accurate tracking of anatomic landmarks is critical for motion management in liver radiation
therapy. Ultrasound (US) is a safe, low-cost technology that is broadly available and offer …