• Corpus ID: 222090909

C-Arm Non-Circular Orbits: Geometric Calibration, Image Quality, and Avoidance of Metal Artifacts

  title={C-Arm Non-Circular Orbits: Geometric Calibration, Image Quality, and Avoidance of Metal Artifacts},
  author={Pengwei Wu and Niral Sheth and Alejandro Sisniega and Tongyu Wang and Ali Uneri and Runze Han and Rohan C. Vijayan and Prasad Vagdargi and Bjoern Kreher and Holger Kunze and Gerhard Kleinszig and Sebastian Vogt and Sheng-fu Larry Lo and Nicholas Theodore and Jeffrey H. Siewerdsen},
  journal={arXiv: Medical Physics},
Metal artifacts present a frequent challenge to cone-beam CT (CBCT) in image-guided surgery, obscuring visualization of metal instruments and adjacent anatomy. Recent advances in mobile C-arm systems have enabled 3D imaging capacity with non-circular orbits. We extend a previously proposed metal artifacts avoidance (MAA) method to reduce the influence of metal artifacts by prospectively defining a non-circular orbit that avoids metal-induced biases in projection domain. Accurate geometric… 
2 Citations
Sampling effects for emerging cone-beam CT systems and scan trajectories: from Tuy’s condition to system design and routine image quality tests
Principles of cone-beam sampling are considered in terms of an analytical figure of merit for data incompleteness [tan(Οˆπ‘šπ‘–π‘›)] and experimental measurements of cone-beam artifact magnitude in an…
Deformable 3D-2D registration for high-precision guidance and verification of neuroelectrode placement
The method combines the speed and generalizability of deep learning with the precision and reliability of physical model-based registration to achieve accurate deformable 3D-2D registration and metal artifact reduction in functional neurosurgery.


C-arm orbits for metal artifact avoidance (MAA) in cone-beam CT.
The MAA method presents a practical means to predict C-arm orbits that minimize spectral bias from metal instrumentation and exhibited substantial reduction of metal artifacts in raw CBCT reconstructions by virtue of higher fidelity projection data.
Self-calibration of cone-beam CT geometry using 3D-2D image registration.
The results indicate that self-calibration can improve even upon systems with presumably accurate geometric calibration and is applicable to situations where conventional calibration is not feasible, such as complex non-circular CBCT orbits and systems with irreproducible source-detector trajectory.
Known-component metal artifact reduction (KC-MAR) for cone-beam CT.
The known-component MAR (KC-MAR) approach achieves precise localization of instrumentation in projection images using rigid or deformable 3D-2D registration of component models, thereby overcoming residual errors associated with segmentation-based methods.
Normalized metal artifact reduction (NMAR) in computed tomography.
PURPOSE While modern clinical CT scanners under normal circumstances produce high quality images, severe artifacts degrade the image quality and the diagnostic value if metal prostheses or other…
Volume CT with a flat-panel detector on a mobile, isocentric C-arm: pre-clinical investigation in guidance of minimally invasive surgery.
The intraoperative cone-beam CT images were sufficient for guidance of needles and catheters with respect to bony anatomy and improved surgical performance and confidence through 3D visualization and verification of transpedicular trajectories and tool placement.
Accurate technique for complete geometric calibration of cone-beam computed tomography systems.
It was demonstrated that high image quality in CT reconstructions is possible even in systems with large geometric nonidealities, and a general analytic algorithm and corresponding calibration phantom for estimating these geometric parameters in cone-beam computed tomography (CT) systems were developed.
Image quality and dose for a multisource cone‐beam CT extremity scanner
Initial assessment of the multisource cone-beam CT scanner demonstrated the advantages over single-source designs in a compact scanner with large longitudinal FOV.
Statistical weights for model-based reconstruction in cone-beam CT with electronic noise and dual-gain detector readout.
A penalized weighted least-squares (PWLS) method for CBCT image reconstruction with a system model that includes the electronic noise characteristics of FPDs, including systems with dynamic-gain or dual-gain readout in which the electronic Noise is spatially varying.
Task-driven source–detector trajectories in cone-beam computed tomography: II. Application to neuroradiology
Improvements in detectability and the demonstration of the task-driven workflow using a real interventional imaging system show the potential of thetask-driven imaging framework to improve imaging performance on motorized, multiaxis C-arms in neuroradiology.
Fast calculation of the exact radiological path for a three-dimensional CT array.
  • R. Siddon
  • Medicine, Physics
    Medical physics
  • 1985
A new exact algorithm is presented that considers the CT data as consisting of the intersection volumes of three orthogonal sets of equally spaced, parallel planes, for a three-dimensional CT array of N3 voxels.