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 …

The impact of machine learning on 2d/3d registration for image-guided interventions: A systematic review and perspective

M Unberath, C Gao, Y Hu, M Judish… - Frontiers in Robotics …, 2021 - frontiersin.org
Image-based navigation is widely considered the next frontier of minimally invasive surgery.
It is believed that image-based navigation will increase the access to reproducible, safe, and …

Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis

C Gao, BD Killeen, Y Hu, RB Grupp… - Nature Machine …, 2023 - nature.com
Artificial intelligence (AI) now enables automated interpretation of medical images. However,
AI's potential use for interventional image analysis remains largely untapped. This is …

A fully differentiable framework for 2D/3D registration and the projective spatial transformers

C Gao, A Feng, X Liu, RH Taylor… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Image-based 2D/3D registration is a critical technique for fluoroscopic guided surgical
interventions. Conventional intensity-based 2D/3D registration approa-ches suffer from a …

2D/3D non-rigid image registration via two orthogonal X-ray projection images for lung tumor tracking

G Dong, J Dai, N Li, C Zhang, W He, L Liu, Y Chan, Y Li… - Bioengineering, 2023 - mdpi.com
Two-dimensional (2D)/three-dimensional (3D) registration is critical in clinical applications.
However, existing methods suffer from long alignment times and high doses. In this paper, a …

Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration

RB Grupp, M Unberath, C Gao, RA Hegeman… - International journal of …, 2020 - Springer
Purpose Fluoroscopy is the standard imaging modality used to guide hip surgery and is
therefore a natural sensor for computer-assisted navigation. In order to efficiently solve the …

Fluoroscopic navigation for a surgical robotic system including a continuum manipulator

C Gao, H Phalen, S Sefati, J Ma… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
We present an image-based navigation solution for a surgical robotic system with a
Continuum Manipulator (CM). Our navigation system uses only fluoroscopic images from a …

Fiducial-free 2D/3D registration for robot-assisted femoroplasty

C Gao, A Farvardin, RB Grupp… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Femoroplasty is a proposed alternative therapeutic method for preventing osteoporotic hip
fractures in the elderly. Previously developed navigation system for femoroplasty required …

3-D rigid point set registration for computer-assisted orthopedic surgery (CAOS): A review from the algorithmic perspective

Z Min, A Zhang, Z Zhang, J Wang… - … on Medical Robotics …, 2023 - ieeexplore.ieee.org
is an important problem in computer-assisted orthopedic surgery (CAOS). As one typical
example, the pre-operative space where the patient-specific surgical plan is usually made …

Long-length tomosynthesis and 3D-2D registration for intraoperative assessment of spine instrumentation

X Zhang, A Uneri, P Wu, MD Ketcha… - Physics in Medicine …, 2021 - iopscience.iop.org
Purpose. A system for long-length intraoperative imaging is reported based on longitudinal
motion of an O-arm gantry featuring a multi-slot collimator. We assess the utility of long …