Comparison of different CT energy levels on liver fat prediction

Min Zhang; Suseon Yang; Tao Yang; Teresa Wu; Di Pan

Comparison of different CT energy levels on liver fat prediction

Min Zhang, Suseon Yang, Tao Yang, Teresa Wu, Di Pan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Computed Tomography (CT) is very popular for fatty liver diagnosis. Some studies demonstrate that the Hepatic Fat Content (HFC) is linearly correlated with Liver to Spleen ratio (L/S) of CT attenuation. However, L/S varies at different energy levels even for the same Region of Interest (ROI). We developed two Particle Swarm Optimization (PSO) Least Median Square (LMS) regression models in R (www.r-project.org) for single energy levels and multiple energy level combination respectively to evaluate their performance for determining and predicting the HFC levels. Monochromatic energy CT from 40keV to 140keV (11 levels) were performed on 3 patients with fatty livers and 4 ROIs were examined in this study. The results show that 80keV is the best for HFC prediction (Min Median Error Square, OF=7.46e-07) in single energy level model; and the combination of 60keV and 140keV performs the best (OF=7.198e-08) in multiple energy levels combination model.

Original language	English (US)
Title of host publication	61st Annual IIE Conference and Expo Proceedings
Publisher	Institute of Industrial Engineers
State	Published - 2011
Event	61st Annual Conference and Expo of the Institute of Industrial Engineers - Reno, NV, United States Duration: May 21 2011 → May 25 2011

Other

Other	61st Annual Conference and Expo of the Institute of Industrial Engineers
Country	United States
City	Reno, NV
Period	5/21/11 → 5/25/11

Keywords

CT Energy Level
Fatty Liver
Least Median Square Regression
Particle Swarm Optimization

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

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Zhang, M., Yang, S., Yang, T., Wu, T., & Pan, D. (2011). Comparison of different CT energy levels on liver fat prediction. In 61st Annual IIE Conference and Expo Proceedings Institute of Industrial Engineers.

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title = "Comparison of different CT energy levels on liver fat prediction",

abstract = "Computed Tomography (CT) is very popular for fatty liver diagnosis. Some studies demonstrate that the Hepatic Fat Content (HFC) is linearly correlated with Liver to Spleen ratio (L/S) of CT attenuation. However, L/S varies at different energy levels even for the same Region of Interest (ROI). We developed two Particle Swarm Optimization (PSO) Least Median Square (LMS) regression models in R (www.r-project.org) for single energy levels and multiple energy level combination respectively to evaluate their performance for determining and predicting the HFC levels. Monochromatic energy CT from 40keV to 140keV (11 levels) were performed on 3 patients with fatty livers and 4 ROIs were examined in this study. The results show that 80keV is the best for HFC prediction (Min Median Error Square, OF=7.46e-07) in single energy level model; and the combination of 60keV and 140keV performs the best (OF=7.198e-08) in multiple energy levels combination model.",

keywords = "CT Energy Level, Fatty Liver, Least Median Square Regression, Particle Swarm Optimization",

author = "Min Zhang and Suseon Yang and Tao Yang and Teresa Wu and Di Pan",

year = "2011",

language = "English (US)",

booktitle = "61st Annual IIE Conference and Expo Proceedings",

publisher = "Institute of Industrial Engineers",

note = "61st Annual Conference and Expo of the Institute of Industrial Engineers ; Conference date: 21-05-2011 Through 25-05-2011",

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T1 - Comparison of different CT energy levels on liver fat prediction

AU - Zhang, Min

AU - Yang, Suseon

AU - Yang, Tao

AU - Wu, Teresa

AU - Pan, Di

PY - 2011

Y1 - 2011

N2 - Computed Tomography (CT) is very popular for fatty liver diagnosis. Some studies demonstrate that the Hepatic Fat Content (HFC) is linearly correlated with Liver to Spleen ratio (L/S) of CT attenuation. However, L/S varies at different energy levels even for the same Region of Interest (ROI). We developed two Particle Swarm Optimization (PSO) Least Median Square (LMS) regression models in R (www.r-project.org) for single energy levels and multiple energy level combination respectively to evaluate their performance for determining and predicting the HFC levels. Monochromatic energy CT from 40keV to 140keV (11 levels) were performed on 3 patients with fatty livers and 4 ROIs were examined in this study. The results show that 80keV is the best for HFC prediction (Min Median Error Square, OF=7.46e-07) in single energy level model; and the combination of 60keV and 140keV performs the best (OF=7.198e-08) in multiple energy levels combination model.

AB - Computed Tomography (CT) is very popular for fatty liver diagnosis. Some studies demonstrate that the Hepatic Fat Content (HFC) is linearly correlated with Liver to Spleen ratio (L/S) of CT attenuation. However, L/S varies at different energy levels even for the same Region of Interest (ROI). We developed two Particle Swarm Optimization (PSO) Least Median Square (LMS) regression models in R (www.r-project.org) for single energy levels and multiple energy level combination respectively to evaluate their performance for determining and predicting the HFC levels. Monochromatic energy CT from 40keV to 140keV (11 levels) were performed on 3 patients with fatty livers and 4 ROIs were examined in this study. The results show that 80keV is the best for HFC prediction (Min Median Error Square, OF=7.46e-07) in single energy level model; and the combination of 60keV and 140keV performs the best (OF=7.198e-08) in multiple energy levels combination model.

KW - CT Energy Level

KW - Fatty Liver

KW - Least Median Square Regression

KW - Particle Swarm Optimization

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