Three-material decomposition in multi-energy CT: Impact of prior information on noise and bias

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

1 Citation (Scopus)

Abstract

In order to perform material decomposition for a three-material mixture, dual-energy CT (DECT) has to incorporate an additional condition, typically the prior information related to certain physical constraints such as volume or mass conservation. With the introduction of photon-counting CT and other multi-energy CT (MECT) platform, more than 2 energy bins can be simultaneously acquired, which in principle can solve a three-material problem without the need of additional prior information. The purpose of this work was to investigate the impact of prior information on noise and bias properties of three-material decomposition in both DECT and MECT, and to evaluate if the prior information is still needed in MECT. Computer simulation studies were performed to compare basis image noise and quantification accuracy among DECT with prior information, and MECT with/without prior information. For given spectral configurations, the simulation results showed that significant noise reductions can be achieved in all the basis material images when prior information was included in the material decomposition process. Compared to DECT with prior information, MECT (N=3) with prior information had slightly better noise performance due to additional beam measurement and well preserved spectral separation. In addition, when wrong prior information ([-2.0%, 2.0%]) was intentionally introduced, the quantification accuracy evaluated by root-mean-square-error (RMSR) using MECT with prior information was less than 1.5mg/cc for gadolinium quantification and 1.2mg/cc for iodine quantification.

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

Noise
Decomposition
decomposition
Gadolinium
Photons
Iodine
Computer Simulation
energy
Bins
Noise abatement
Mean square error
Conservation
root-mean-square errors
gadolinium
Computer simulation
noise reduction
iodine
conservation
counting
platforms

Keywords

  • basis material decomposition
  • dual-energy CT
  • Multi-energy CT
  • three material decomposition

ASJC Scopus subject areas

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

Cite this

Three-material decomposition in multi-energy CT : Impact of prior information on noise and bias. / Ren, Liqiang; McCollough, Cynthia H; Yu, Lifeng.

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

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

Ren, L, McCollough, CH & Yu, L 2018, Three-material decomposition in multi-energy CT: Impact of prior information on noise and bias. in Medical Imaging 2018: Physics of Medical Imaging. vol. 10573, 105731G, SPIE, Medical Imaging 2018: Physics of Medical Imaging, Houston, United States, 2/12/18. https://doi.org/10.1117/12.2294953
Ren, Liqiang ; McCollough, Cynthia H ; Yu, Lifeng. / Three-material decomposition in multi-energy CT : Impact of prior information on noise and bias. Medical Imaging 2018: Physics of Medical Imaging. Vol. 10573 SPIE, 2018.
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