Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

99mTc/123I Dual-Radionuclide Correction for Self-Scatter, Down-Scatter, and Tailing Effect for a CZT SPECT With Varying Tracer Distributions

Velo, Alexandre F. ; Fan, Peng ; Xie, Huidong ; Chen, Xiongchao ; Boutagy, Nabil ; Feher, Attila ; Sinusas, Albert J. ; Ljungberg, Michael LU and Liu, Chi (2023) In IEEE Transactions on Radiation and Plasma Medical Sciences 7(8). p.839-850
Abstract

Single-photon emission computed tomography systems distinguish radionuclides by using multiple energy windows. For cadmium zinc telluride (CZT) detectors, the energy spectrum has a low-energy tail leading to additional crosstalk between the radionuclides. Previous work developed models to correct the scatter and crosstalk for CZT-based dedicated cardiac systems with similar 99mTc/123I tracer distributions. These models estimate the primary and scatter components by solving a set of equations employing the maximum-likelihood expectation–maximization approach. A penalty term is applied to ensure convergence. The present work estimates the penalty term for any 99mTc/123I activity level. An... (More)

Single-photon emission computed tomography systems distinguish radionuclides by using multiple energy windows. For cadmium zinc telluride (CZT) detectors, the energy spectrum has a low-energy tail leading to additional crosstalk between the radionuclides. Previous work developed models to correct the scatter and crosstalk for CZT-based dedicated cardiac systems with similar 99mTc/123I tracer distributions. These models estimate the primary and scatter components by solving a set of equations employing the maximum-likelihood expectation–maximization approach. A penalty term is applied to ensure convergence. The present work estimates the penalty term for any 99mTc/123I activity level. An iterative approach incorporating Monte Carlo into the iterative image reconstruction loops was developed to estimate the penalty terms. We used SIMIND and extended cardiac-torso phantoms in this study. Distribution of tracers in the myocardial tissue and blood pool was varied to simulate a dynamic acquisition. Evaluations of the estimated and the real penalty terms were performed using simulations and large animal data. The myocardium to blood pool ratio was calculated using regions of interests in the myocardial tissue and the blood pool for quantitative analysis. All corrected images yielded a good agreement with the gold standard images. In conclusion, we developed a CZT crosstalk correction method for quantitative imaging of 99mTc/123I activity levels by dynamically estimating the penalty terms.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Cadmium zinc telluride (CZT) detectors, down-scatter, dual-radionuclide, iterative deconvolution model, penalty term estimation, self-scatter, tailing effect corrections
in
IEEE Transactions on Radiation and Plasma Medical Sciences
volume
7
issue
8
pages
12 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85166328795
ISSN
2469-7311
DOI
10.1109/TRPMS.2023.3297443
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
id
3b2db22b-1f91-4ced-b5b6-b729dd3bcee6
date added to LUP
2024-01-15 15:15:57
date last changed
2024-01-15 15:28:42
@article{3b2db22b-1f91-4ced-b5b6-b729dd3bcee6,
  abstract     = {{<p>Single-photon emission computed tomography systems distinguish radionuclides by using multiple energy windows. For cadmium zinc telluride (CZT) detectors, the energy spectrum has a low-energy tail leading to additional crosstalk between the radionuclides. Previous work developed models to correct the scatter and crosstalk for CZT-based dedicated cardiac systems with similar <sup>99m</sup>Tc/<sup>123</sup>I tracer distributions. These models estimate the primary and scatter components by solving a set of equations employing the maximum-likelihood expectation–maximization approach. A penalty term is applied to ensure convergence. The present work estimates the penalty term for any <sup>99m</sup>Tc/<sup>123</sup>I activity level. An iterative approach incorporating Monte Carlo into the iterative image reconstruction loops was developed to estimate the penalty terms. We used SIMIND and extended cardiac-torso phantoms in this study. Distribution of tracers in the myocardial tissue and blood pool was varied to simulate a dynamic acquisition. Evaluations of the estimated and the real penalty terms were performed using simulations and large animal data. The myocardium to blood pool ratio was calculated using regions of interests in the myocardial tissue and the blood pool for quantitative analysis. All corrected images yielded a good agreement with the gold standard images. In conclusion, we developed a CZT crosstalk correction method for quantitative imaging of <sup>99m</sup>Tc/<sup>123</sup>I activity levels by dynamically estimating the penalty terms.</p>}},
  author       = {{Velo, Alexandre F. and Fan, Peng and Xie, Huidong and Chen, Xiongchao and Boutagy, Nabil and Feher, Attila and Sinusas, Albert J. and Ljungberg, Michael and Liu, Chi}},
  issn         = {{2469-7311}},
  keywords     = {{Cadmium zinc telluride (CZT) detectors; down-scatter; dual-radionuclide; iterative deconvolution model; penalty term estimation; self-scatter; tailing effect corrections}},
  language     = {{eng}},
  month        = {{11}},
  number       = {{8}},
  pages        = {{839--850}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Radiation and Plasma Medical Sciences}},
  title        = {{<sup>99m</sup>Tc/<sup>123</sup>I Dual-Radionuclide Correction for Self-Scatter, Down-Scatter, and Tailing Effect for a CZT SPECT With Varying Tracer Distributions}},
  url          = {{http://dx.doi.org/10.1109/TRPMS.2023.3297443}},
  doi          = {{10.1109/TRPMS.2023.3297443}},
  volume       = {{7}},
  year         = {{2023}},
}