Liver fat quantification using fast kVp-switching dual energy CT

Andras Kriston, Paulo Mendonça, Alvin C Silva, Robert G. Paden, William Pavlicek, Dushyant Sahani, Benedek Janos Kis, Laszlo Rusko, Darin Okerlund, Rahul Bhotika

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

3 Citations (Scopus)

Abstract

Nonalcoholic steatohepatitis (NASH) is a liver disease that occurs in patients that lack a history of the well-proven association of alcohol use. A major symptom of NASH is increased fat deposition in the liver. Gemstone Spectral Imaging (GSI) with fast kVp-switching enables projection-based material decomposition, offering the opportunity to accurately characterize tissue types, e.g., fat and healthy liver tissue, based on their energy-sensitive material attenuation and density. We describe our pilot efforts to apply GSI to locate and quantify the amount of fat deposition in the liver. Two approaches are presented, one that computes percentage fat from the difference in HU values at high and low energies and the second based on directly computing fat volume fraction at each voxel using multi-material decomposition. Simulation software was used to create a phantom with a set of concentric rings, each composed of fat and soft tissue in different relative amounts with attenuation values obtained from the National Institute of Standards and Technology. Monte Carlo 80 and 140 kVp X-ray projections were acquired and CT images of the phantom were reconstructed. Results demonstrated the sensitivity of dual energy CT to the presence of fat and its ability to distinguish fat from soft tissue. Additionally, actual patient (liver) datasets were acquired using GSI and monochromatic images at 70 and 140 keV were reconstructed. Preliminary results demonstrate a tissue sensitivity that appears sufficient to quantify fat content with a degree of accuracy as may be needed for non-invasive clinical assessment of NASH.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7962
DOIs
StatePublished - 2011
EventMedical Imaging 2011: Image Processing - Lake Buena Vista, FL, United States
Duration: Feb 14 2011Feb 16 2011

Other

OtherMedical Imaging 2011: Image Processing
CountryUnited States
CityLake Buena Vista, FL
Period2/14/112/16/11

Fingerprint

fats
Oils and fats
liver
Liver
Fats
Tissue
energy
Imaging techniques
attenuation
projection
Decomposition
decomposition
sensitivity
Liver Diseases
Volume fraction
alcohols
Alcohols
Software
X-Rays
Association reactions

Keywords

  • computerized tomography
  • Gemstone spectral CT imaging
  • liver fat
  • monochromatic
  • NASH
  • non-invasive
  • projection-based decomposition

ASJC Scopus subject areas

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

Cite this

Kriston, A., Mendonça, P., Silva, A. C., Paden, R. G., Pavlicek, W., Sahani, D., ... Bhotika, R. (2011). Liver fat quantification using fast kVp-switching dual energy CT. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 7962). [79623W] https://doi.org/10.1117/12.878206

Liver fat quantification using fast kVp-switching dual energy CT. / Kriston, Andras; Mendonça, Paulo; Silva, Alvin C; Paden, Robert G.; Pavlicek, William; Sahani, Dushyant; Janos Kis, Benedek; Rusko, Laszlo; Okerlund, Darin; Bhotika, Rahul.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7962 2011. 79623W.

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

Kriston, A, Mendonça, P, Silva, AC, Paden, RG, Pavlicek, W, Sahani, D, Janos Kis, B, Rusko, L, Okerlund, D & Bhotika, R 2011, Liver fat quantification using fast kVp-switching dual energy CT. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 7962, 79623W, Medical Imaging 2011: Image Processing, Lake Buena Vista, FL, United States, 2/14/11. https://doi.org/10.1117/12.878206
Kriston A, Mendonça P, Silva AC, Paden RG, Pavlicek W, Sahani D et al. Liver fat quantification using fast kVp-switching dual energy CT. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7962. 2011. 79623W https://doi.org/10.1117/12.878206
Kriston, Andras ; Mendonça, Paulo ; Silva, Alvin C ; Paden, Robert G. ; Pavlicek, William ; Sahani, Dushyant ; Janos Kis, Benedek ; Rusko, Laszlo ; Okerlund, Darin ; Bhotika, Rahul. / Liver fat quantification using fast kVp-switching dual energy CT. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7962 2011.
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