Literature DB >> 32428891

C-arm orbits for metal artifact avoidance (MAA) in cone-beam CT.

P Wu1, N Sheth, A Sisniega, A Uneri, R Han, R Vijayan, P Vagdargi, B Kreher, H Kunze, G Kleinszig, S Vogt, S F Lo, N Theodore, J H Siewerdsen.   

Abstract

Metal artifacts present a challenge to cone-beam CT (CBCT) image-guided surgery, obscuring visualization of metal instruments and adjacent anatomy-often in the very region of interest pertinent to the imaging/surgical tasks. We present a method to reduce the influence of metal artifacts by prospectively defining an image acquisition protocol-viz., the C-arm source-detector orbit-that mitigates metal-induced biases in the projection data. The metal artifact avoidance (MAA) method is compatible with simple mobile C-arms, does not require exact prior information on the patient or metal implants, and is consistent with 3D filtered backprojection (FBP), more advanced (e.g. polyenergetic) model-based image reconstruction (MBIR), and metal artifact reduction (MAR) post-processing methods. The MAA method consists of: (i) coarse localization of metal objects in the field-of-view (FOV) via two or more low-dose scout projection views and segmentation (e.g. a simple U-Net) in coarse backprojection; (ii) model-based prediction of metal-induced x-ray spectral shift for all source-detector vertices accessible by the imaging system (e.g. gantry rotation and tilt angles); and (iii) identification of a circular or non-circular orbit that reduces the variation in spectral shift. The method was developed, tested, and evaluated in a series of studies presenting increasing levels of complexity and realism, including digital simulations, phantom experiment, and cadaver experiment in the context of image-guided spine surgery (pedicle screw implants). The MAA method accurately predicted tilted circular and non-circular orbits that reduced the magnitude of metal artifacts in CBCT reconstructions. Realistic distributions of metal instrumentation were successfully localized (0.71 median Dice coefficient) from 2-6 low-dose scout views even in complex anatomical scenes. The MAA-predicted tilted circular orbits reduced root-mean-square error (RMSE) in 3D image reconstructions by 46%-70% and 'blooming' artifacts (apparent width of the screw shaft) by 20-45%. Non-circular orbits defined by MAA achieved a further ∼46% reduction in RMSE compared to the best (tilted) circular orbit. The MAA method presents a practical means to predict C-arm orbits that minimize spectral bias from metal instrumentation. Resulting orbits-either simple tilted circular orbits or more complex non-circular orbits that can be executed with a motorized multi-axis C-arm-exhibited substantial reduction of metal artifacts in raw CBCT reconstructions by virtue of higher fidelity projection data, which are in turn compatible with subsequent MAR post-processing and/or polyenergetic MBIR to further reduce artifacts.

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Year:  2020        PMID: 32428891      PMCID: PMC8650760          DOI: 10.1088/1361-6560/ab9454

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   4.174


  36 in total

1.  Exact image reconstruction on PI-lines from minimum data in helical cone-beam CT.

Authors:  Yu Zou; Xiaochuan Pan
Journal:  Phys Med Biol       Date:  2004-03-21       Impact factor: 3.609

2.  Frequency split metal artifact reduction (FSMAR) in computed tomography.

Authors:  Esther Meyer; Rainer Raupach; Michael Lell; Bernhard Schmidt; Marc Kachelrieß
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

3.  Normalized metal artifact reduction (NMAR) in computed tomography.

Authors:  Esther Meyer; Rainer Raupach; Michael Lell; Bernhard Schmidt; Marc Kachelriess
Journal:  Med Phys       Date:  2010-10       Impact factor: 4.071

4.  Using a flat-panel detector in high resolution cone beam CT for dental imaging.

Authors:  R Baba; K Ueda; M Okabe
Journal:  Dentomaxillofac Radiol       Date:  2004-09       Impact factor: 2.419

5.  Real-time 3D reconstruction for collision avoidance in interventional environments.

Authors:  Alexander Ladikos; Selim Benhimane; Nassir Navab
Journal:  Med Image Comput Comput Assist Interv       Date:  2008

6.  Automated implant segmentation in cone-beam CT using edge detection and particle counting.

Authors:  Ruben Pauwels; Reinhilde Jacobs; Hilde Bosmans; Pisha Pittayapat; Pasupen Kosalagood; Onanong Silkosessak; Soontra Panmekiate
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-07       Impact factor: 2.924

7.  Task-driven source-detector trajectories in cone-beam computed tomography: I. Theory and methods.

Authors:  J Webster Stayman; Sarah Capostagno; Grace J Gang; Jeffrey H Siewerdsen
Journal:  J Med Imaging (Bellingham)       Date:  2019-05-02

8.  Known-component metal artifact reduction (KC-MAR) for cone-beam CT.

Authors:  A Uneri; X Zhang; T Yi; J W Stayman; P A Helm; G M Osgood; N Theodore; J H Siewerdsen
Journal:  Phys Med Biol       Date:  2019-08-21       Impact factor: 3.609

9.  Artifacts in CT: recognition and avoidance.

Authors:  Julia F Barrett; Nicholas Keat
Journal:  Radiographics       Date:  2004 Nov-Dec       Impact factor: 5.333

10.  Non-circular CT orbit design for elimination of metal artifacts.

Authors:  Grace J Gang; Jeffrey H Siewerdsen; J Webster Stayman
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2020-03-16
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  2 in total

1.  Accuracy Assessment of Percutaneous Pedicle Screw Placement Using Cone Beam Computed Tomography with Metal Artifact Reduction.

Authors:  Yann Philippe Charles; Rawan Al Ansari; Arnaud Collinet; Pierre De Marini; Jean Schwartz; Rami Nachabe; Dirk Schäfer; Bernhard Brendel; Afshin Gangi; Roberto Luigi Cazzato
Journal:  Sensors (Basel)       Date:  2022-06-18       Impact factor: 3.847

2.  Sinogram + image domain neural network approach for metal artifact reduction in low-dose cone-beam computed tomography.

Authors:  Michael D Ketcha; Michael Marrama; Andre Souza; Ali Uneri; Pengwei Wu; Xiaoxuan Zhang; Patrick A Helm; Jeffrey H Siewerdsen
Journal:  J Med Imaging (Bellingham)       Date:  2021-03-13
  2 in total

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