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Medical image registration in image guided surgery: Issues, challenges and research opportunities
Multimodal images of a patient obtained at different time, pre-surgical planning, intra-
procedural guidance and visualization, and post-procedural assessment are the core …
procedural guidance and visualization, and post-procedural assessment are the core …
Spinal navigation and imaging: history, trends, and future
PA Helm, R Teichman, SL Hartmann… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
The clinical practice of spine navigation has rapidly grown with the development of image-
based guidance. In this paper, a brief history of spinal navigation is presented and a review …
based guidance. In this paper, a brief history of spinal navigation is presented and a review …
A framework for automated spine and vertebrae interpolation-based detection and model-based segmentation
Automated and semi-automated detection and segmentation of spinal and vertebral
structures from computed tomography (CT) images is a challenging task due to a relatively …
structures from computed tomography (CT) images is a challenging task due to a relatively …
3D–2D image registration for target localization in spine surgery: investigation of similarity metrics providing robustness to content mismatch
In image-guided spine surgery, robust three-dimensional to two-dimensional (3D–2D)
registration of preoperative computed tomography (CT) and intraoperative radiographs can …
registration of preoperative computed tomography (CT) and intraoperative radiographs can …
Joint vertebrae identification and localization in spinal CT images by combining short-and long-range contextual information
Automatic vertebrae identification and localization from arbitrary computed tomography (CT)
images is challenging. Vertebrae usually share similar morphological appearance. Because …
images is challenging. Vertebrae usually share similar morphological appearance. Because …
Motion compensation in extremity cone-beam CT using a penalized image sharpness criterion
Cone-beam CT (CBCT) for musculoskeletal imaging would benefit from a method to reduce
the effects of involuntary patient motion. In particular, the continuing improvement in spatial …
the effects of involuntary patient motion. In particular, the continuing improvement in spatial …
Self-supervised 2D/3D registration for X-ray to CT image fusion
Abstract Deep Learning-based 2D/3D registration enables fast, robust, and accurate X-ray to
CT image fusion when large annotated paired datasets are available for training. However …
CT image fusion when large annotated paired datasets are available for training. However …
Self-calibration of cone-beam CT geometry using 3D–2D image registration
Robotic C-arms are capable of complex orbits that can increase field of view, reduce
artifacts, improve image quality, and/or reduce dose; however, it can be challenging to …
artifacts, improve image quality, and/or reduce dose; however, it can be challenging to …
Machine learning for automated 3-dimensional segmentation of the spine and suggested placement of pedicle screws based on intraoperative cone-beam computer …
OBJECTIVE The goal of this study was to develop and validate a system for automatic
segmentation of the spine, pedicle identification, and screw path suggestion for use with an …
segmentation of the spine, pedicle identification, and screw path suggestion for use with an …
Robust 3D–2D image registration: application to spine interventions and vertebral labeling in the presence of anatomical deformation
We present a framework for robustly estimating registration between a 3D volume image
and a 2D projection image and evaluate its precision and robustness in spine interventions …
and a 2D projection image and evaluate its precision and robustness in spine interventions …