Estimation of signal and noise for a whole-body photon counting research CT system

Zhoubo Li, Shuai Leng, Zhicong Yu, Steffen Kappler, Cynthia H McCollough

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

1 Citation (Scopus)

Abstract

Photon-counting CT (PCCT) may yield potential value for many clinical applications due to its relative immunity to electronic noise, increased geometric efficiency relative to current scintillating detectors, and the ability to resolve energy information about the detected photons. However, there are a large number of parameters that require optimization, particularly the energy thresholds configuration. Fast and accurate estimation of signal and noise in PCCT can benefit the optimization of acquisition parameters for specific diagnostic tasks. Based on the acquisition parameters and detector response of our research PCCT system, we derived mathematical models for both signal and noise. The signal model took the tube spectrum, beam filtration, object attenuation, water beam hardening, and detector response into account. The noise model considered the relationship between noise and radiation dose, as well as the propagation of noise as threshold data are subtracted to yield energy bin data. To determine the absolute noise value, a noise look-up table (LUT) was acquired using a limited number of calibration scans. The noise estimation algorithm then used the noise LUT to estimate noise for scans with a variety of combination of energy thresholds, dose levels, and object attenuation. Validation of the estimation algorithms was performed on our whole-body research PCCT system using semianthropomorphic water phantoms and solutions of calcium and iodine. The algorithms achieved accurate estimation of signal and noise for a variety of scanning parameter combinations. The proposed method can be used to optimize energy thresholds configuration for many clinical applications of PCCT.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2016: Physics of Medical Imaging
PublisherSPIE
Volume9783
ISBN (Electronic)9781510600188
DOIs
StatePublished - 2016
EventMedical Imaging 2016: Physics of Medical Imaging - San Diego, United States
Duration: Feb 28 2016Mar 2 2016

Other

OtherMedical Imaging 2016: Physics of Medical Imaging
CountryUnited States
CitySan Diego
Period2/28/163/2/16

Fingerprint

Whole-Body Counting
Photons
Noise
counting
photons
Research
Detectors
thresholds
Water
Bins
Iodine
Dosimetry
Hardening
Calcium
detectors
acquisition
attenuation
energy
Calibration
Mathematical models

Keywords

  • CT
  • Energy threshold configuration
  • Multi-Energy CT
  • Photon counting detectors
  • Signal and noise

ASJC Scopus subject areas

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

Cite this

Li, Z., Leng, S., Yu, Z., Kappler, S., & McCollough, C. H. (2016). Estimation of signal and noise for a whole-body photon counting research CT system. In Medical Imaging 2016: Physics of Medical Imaging (Vol. 9783). [97831F] SPIE. https://doi.org/10.1117/12.2216637

Estimation of signal and noise for a whole-body photon counting research CT system. / Li, Zhoubo; Leng, Shuai; Yu, Zhicong; Kappler, Steffen; McCollough, Cynthia H.

Medical Imaging 2016: Physics of Medical Imaging. Vol. 9783 SPIE, 2016. 97831F.

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

Li, Z, Leng, S, Yu, Z, Kappler, S & McCollough, CH 2016, Estimation of signal and noise for a whole-body photon counting research CT system. in Medical Imaging 2016: Physics of Medical Imaging. vol. 9783, 97831F, SPIE, Medical Imaging 2016: Physics of Medical Imaging, San Diego, United States, 2/28/16. https://doi.org/10.1117/12.2216637
Li Z, Leng S, Yu Z, Kappler S, McCollough CH. Estimation of signal and noise for a whole-body photon counting research CT system. In Medical Imaging 2016: Physics of Medical Imaging. Vol. 9783. SPIE. 2016. 97831F https://doi.org/10.1117/12.2216637
Li, Zhoubo ; Leng, Shuai ; Yu, Zhicong ; Kappler, Steffen ; McCollough, Cynthia H. / Estimation of signal and noise for a whole-body photon counting research CT system. Medical Imaging 2016: Physics of Medical Imaging. Vol. 9783 SPIE, 2016.
@inproceedings{b922a84e86bf43aaa6934be293ebcac8,
title = "Estimation of signal and noise for a whole-body photon counting research CT system",
abstract = "Photon-counting CT (PCCT) may yield potential value for many clinical applications due to its relative immunity to electronic noise, increased geometric efficiency relative to current scintillating detectors, and the ability to resolve energy information about the detected photons. However, there are a large number of parameters that require optimization, particularly the energy thresholds configuration. Fast and accurate estimation of signal and noise in PCCT can benefit the optimization of acquisition parameters for specific diagnostic tasks. Based on the acquisition parameters and detector response of our research PCCT system, we derived mathematical models for both signal and noise. The signal model took the tube spectrum, beam filtration, object attenuation, water beam hardening, and detector response into account. The noise model considered the relationship between noise and radiation dose, as well as the propagation of noise as threshold data are subtracted to yield energy bin data. To determine the absolute noise value, a noise look-up table (LUT) was acquired using a limited number of calibration scans. The noise estimation algorithm then used the noise LUT to estimate noise for scans with a variety of combination of energy thresholds, dose levels, and object attenuation. Validation of the estimation algorithms was performed on our whole-body research PCCT system using semianthropomorphic water phantoms and solutions of calcium and iodine. The algorithms achieved accurate estimation of signal and noise for a variety of scanning parameter combinations. The proposed method can be used to optimize energy thresholds configuration for many clinical applications of PCCT.",
keywords = "CT, Energy threshold configuration, Multi-Energy CT, Photon counting detectors, Signal and noise",
author = "Zhoubo Li and Shuai Leng and Zhicong Yu and Steffen Kappler and McCollough, {Cynthia H}",
year = "2016",
doi = "10.1117/12.2216637",
language = "English (US)",
volume = "9783",
booktitle = "Medical Imaging 2016: Physics of Medical Imaging",
publisher = "SPIE",

}

TY - GEN

T1 - Estimation of signal and noise for a whole-body photon counting research CT system

AU - Li, Zhoubo

AU - Leng, Shuai

AU - Yu, Zhicong

AU - Kappler, Steffen

AU - McCollough, Cynthia H

PY - 2016

Y1 - 2016

N2 - Photon-counting CT (PCCT) may yield potential value for many clinical applications due to its relative immunity to electronic noise, increased geometric efficiency relative to current scintillating detectors, and the ability to resolve energy information about the detected photons. However, there are a large number of parameters that require optimization, particularly the energy thresholds configuration. Fast and accurate estimation of signal and noise in PCCT can benefit the optimization of acquisition parameters for specific diagnostic tasks. Based on the acquisition parameters and detector response of our research PCCT system, we derived mathematical models for both signal and noise. The signal model took the tube spectrum, beam filtration, object attenuation, water beam hardening, and detector response into account. The noise model considered the relationship between noise and radiation dose, as well as the propagation of noise as threshold data are subtracted to yield energy bin data. To determine the absolute noise value, a noise look-up table (LUT) was acquired using a limited number of calibration scans. The noise estimation algorithm then used the noise LUT to estimate noise for scans with a variety of combination of energy thresholds, dose levels, and object attenuation. Validation of the estimation algorithms was performed on our whole-body research PCCT system using semianthropomorphic water phantoms and solutions of calcium and iodine. The algorithms achieved accurate estimation of signal and noise for a variety of scanning parameter combinations. The proposed method can be used to optimize energy thresholds configuration for many clinical applications of PCCT.

AB - Photon-counting CT (PCCT) may yield potential value for many clinical applications due to its relative immunity to electronic noise, increased geometric efficiency relative to current scintillating detectors, and the ability to resolve energy information about the detected photons. However, there are a large number of parameters that require optimization, particularly the energy thresholds configuration. Fast and accurate estimation of signal and noise in PCCT can benefit the optimization of acquisition parameters for specific diagnostic tasks. Based on the acquisition parameters and detector response of our research PCCT system, we derived mathematical models for both signal and noise. The signal model took the tube spectrum, beam filtration, object attenuation, water beam hardening, and detector response into account. The noise model considered the relationship between noise and radiation dose, as well as the propagation of noise as threshold data are subtracted to yield energy bin data. To determine the absolute noise value, a noise look-up table (LUT) was acquired using a limited number of calibration scans. The noise estimation algorithm then used the noise LUT to estimate noise for scans with a variety of combination of energy thresholds, dose levels, and object attenuation. Validation of the estimation algorithms was performed on our whole-body research PCCT system using semianthropomorphic water phantoms and solutions of calcium and iodine. The algorithms achieved accurate estimation of signal and noise for a variety of scanning parameter combinations. The proposed method can be used to optimize energy thresholds configuration for many clinical applications of PCCT.

KW - CT

KW - Energy threshold configuration

KW - Multi-Energy CT

KW - Photon counting detectors

KW - Signal and noise

UR - http://www.scopus.com/inward/record.url?scp=84978861801&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84978861801&partnerID=8YFLogxK

U2 - 10.1117/12.2216637

DO - 10.1117/12.2216637

M3 - Conference contribution

VL - 9783

BT - Medical Imaging 2016: Physics of Medical Imaging

PB - SPIE

ER -