Generalized least-squares CT reconstruction with detector blur and correlated noise models

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

Abstract

The success and improved dose utilization of statistical reconstruction methods arises, in part, from their ability to incorporate sophisticated models of the physics of the measurement process and noise. Despite the great promise of statistical methods, typical measurement models ignore blurring effects, and nearly all current approaches make the presumption of independent measurements - disregarding noise correlations and a potential avenue for improved image quality. In some imaging systems, such as flat-panel-based cone-beam CT, such correlations and blurs can be a dominant factor in limiting the maximum achievable spatial resolution and noise performance. In this work, we propose a novel regularized generalized least-squares reconstruction method that includes models for both system blur and correlated noise in the projection data. We demonstrate, in simulation studies, that this approach can break through the traditional spatial resolution limits of methods that do not model these physical effects. Moreover, in comparison to other approaches that attempt deblurring without a correlation model, superior noise-resolution trade-offs can be found with the proposed approach.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2014
Subtitle of host publicationPhysics of Medical Imaging
PublisherSPIE
ISBN (Print)9780819498267
DOIs
StatePublished - Jan 1 2014
EventMedical Imaging 2014: Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 17 2014Feb 20 2014

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9033
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2014: Physics of Medical Imaging
CountryUnited States
CitySan Diego, CA
Period2/17/142/20/14

Keywords

  • Sinogram restoration
  • correlated noise
  • crosstalk
  • high-resolution cone-beam computed tomography
  • model-based iterative reconstruction
  • projection deblurring

ASJC Scopus subject areas

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

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  • Cite this

    Stayman, J. W., Zbijewski, W., Tilley, S., & Siewerdsen, J. (2014). Generalized least-squares CT reconstruction with detector blur and correlated noise models. In Medical Imaging 2014: Physics of Medical Imaging [903335] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9033). SPIE. https://doi.org/10.1117/12.2043067