Metal artifact reduction in computed tomography by constrained optimization

Xiaomeng Zhang, Jing Wang, Lei Xing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Computed tomography (CT) streak artifacts caused by metal implants have long been recognized as a problem that limits various applications of CT imaging. An effective and robust algorithm is highly desirable to minimize metal artifacts and achieve clinically acceptable CT images. In this work, the raw projection data is viewed as "incomplete" in the presence of metal shadows. Shape and location of metal objects are automatically identified and used as prior knowledge for accurate segmentation of metal shadows in projection domain. An iterative algorithm based on constrained optimization is then used for the image reconstruction. This algorithm minimizes a quadratic penalized smoothness measure function of the image, subject to the constraint that the estimated projection data is within a specified tolerance of the available metal-shadow-excluded projection data, with image non-negativity enforced. The constrained minimization problem is optimized through the combination of projection onto convex sets (POCS) and steepest gradient descent of the smoothness measure objective. Digital phantom study shows that the proposed constrained optimization algorithm has superior performance in reducing metal artifacts, suppressing noise and improving soft-tissue visibility. Some comparisons are performed with the filtered-back-projection (FBP), FDK, POCS and constrained optimization with total-variation (TV) objective. Although the algorithm is presented in the context of metal artifacts, it can be generated to image reconstruction from incomplete projections caused by limited angular range or low angular sampling rate in both 2D and 3D cases.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7622
EditionPART 2
DOIs
StatePublished - 2010
EventMedical Imaging 2010: Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 15 2010Feb 18 2010

Other

OtherMedical Imaging 2010: Physics of Medical Imaging
CountryUnited States
CitySan Diego, CA
Period2/15/102/18/10

Fingerprint

Constrained optimization
Artifacts
Tomography
artifacts
tomography
projection
Metals
optimization
metals
Computer-Assisted Image Processing
Image reconstruction
image reconstruction
Visibility
descent
visibility
Noise
Tissue
Sampling
Imaging techniques
sampling

Keywords

  • Computed tomography (CT)
  • Image reconstruction
  • Metal artifacts
  • Optimization

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Zhang, X., Wang, J., & Xing, L. (2010). Metal artifact reduction in computed tomography by constrained optimization. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (PART 2 ed., Vol. 7622). [76221T] https://doi.org/10.1117/12.844646

Metal artifact reduction in computed tomography by constrained optimization. / Zhang, Xiaomeng; Wang, Jing; Xing, Lei.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7622 PART 2. ed. 2010. 76221T.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, X, Wang, J & Xing, L 2010, Metal artifact reduction in computed tomography by constrained optimization. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. PART 2 edn, vol. 7622, 76221T, Medical Imaging 2010: Physics of Medical Imaging, San Diego, CA, United States, 2/15/10. https://doi.org/10.1117/12.844646
Zhang X, Wang J, Xing L. Metal artifact reduction in computed tomography by constrained optimization. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. PART 2 ed. Vol. 7622. 2010. 76221T https://doi.org/10.1117/12.844646
Zhang, Xiaomeng ; Wang, Jing ; Xing, Lei. / Metal artifact reduction in computed tomography by constrained optimization. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7622 PART 2. ed. 2010.
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