A general CT reconstruction algorithm for model-based material decomposition

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

Abstract

Material decomposition in CT has the potential to reduce artifacts and improve quantitative accuracy by utilizing spectral models and multi-energy scans. In this work we present a novel Model-Based Material Decomposition (MBMD) method based on an existing iterative reconstruction algorithm derived from a general non-linear forward model. A digital water phantom with inserts containing different concentrations of calcium was scanned on a kV switching system. We used the presented method to simultaneously reconstruct water and calcium material density images, and compared the results to an image domain and a projection domain decomposition method. When switching voltage every other frame, MBMD resulted in more accurate water and calcium concentration values than the image domain decomposition method, and was just as accurate as the projection domain decomposition method. In a second, slower, kV switching scheme (changing voltage every ten frames) which precluded the use of traditional projection domain based methods, MBMD continued to produce quantitatively accurate reconstructions. Finally, we present a preliminary study applying MBMD to a water phantom containing vials of different concentrations of K2HPO4 which was scanned on a cone-beam CT test bench. Both the fast and slow (emulated) kV switching schemes resulted in similar reconstructions, indicating MBMD's robustness to challenging acquisition schemes. Additionally, the K2HPO4 concentration ratios between the vials were accurately represented in the reconstructed K2HPO4 density image.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2018
Subtitle of host publicationPhysics of Medical Imaging
PublisherSPIE
Volume10573
ISBN (Electronic)9781510616356
DOIs
StatePublished - Jan 1 2018
EventMedical Imaging 2018: Physics of Medical Imaging - Houston, United States
Duration: Feb 12 2018Feb 15 2018

Other

OtherMedical Imaging 2018: Physics of Medical Imaging
CountryUnited States
CityHouston
Period2/12/182/15/18

Fingerprint

Decomposition
decomposition
Domain decomposition methods
Calcium
Water
calcium
projection
water
Cone-Beam Computed Tomography
Nonlinear Dynamics
Switching systems
Electric potential
Artifacts
Cones
electric potential
inserts
seats
artifacts
acquisition
cones

ASJC Scopus subject areas

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

Cite this

A general CT reconstruction algorithm for model-based material decomposition. / Tilley, Steven; Zbijewski, Wojciech; Siewerdsen, Jeff; Stayman, Joseph Webster.

Medical Imaging 2018: Physics of Medical Imaging. Vol. 10573 SPIE, 2018. 105731E.

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

Tilley, S, Zbijewski, W, Siewerdsen, J & Stayman, JW 2018, A general CT reconstruction algorithm for model-based material decomposition. in Medical Imaging 2018: Physics of Medical Imaging. vol. 10573, 105731E, SPIE, Medical Imaging 2018: Physics of Medical Imaging, Houston, United States, 2/12/18. https://doi.org/10.1117/12.2293776
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