Optimization of acquisition parameters for simultaneous 201Tl and 99mTc dual-isotope myocardial imaging

Wen Tung Wang, Benjamin M.W. Tsui, David S. Lalush, Chiraporn Tocharoenchai, Eric C. Frey

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

In 201Tl/ 99mTc dual-isotope simultaneous-acquisition (DISA) myocardial imaging, crosstalk due to Tc photons results in significant contamination of the Tl data. The objective of this work is to seek the acquisition parameters (i.e., energy window width and center) that have the optimal tradeoff between minimizing the crosstalk and maximizing the detection efficiency. The optimization criterion was based on maximizing an ideal observer signal-to-noise ratio (SNR) for the myocardial defect detection task using single-isotope and DISA projection images acquired from a torso phantom. For single-isotope images, the optimal energy windows (width/center: 26 keV/75 keV and 28 keV/165 keV for 201Tl, 30 keV/142 keV for 99mTc) are wider than typical windows. For DISA imaging, the optimal windows varied with the 99mTc to 201Tl activity ratio and are thus likely to depend on the uptake ratio in each patient. Using the optimal ratio 2.25-2.75 (148 MBq 201Tl and 333-407 MBq 99mTc) with the corresponding optimal windows (22 keV/72 keV, 24 keV/167 keV, and 24 keV/140 keV) gives 201Tl images with substantially increased SNRs as well as 99mTc images with SNRs same as those of 370 MBq 99mTc-only images. However, without the addition of crosstalk compensation, the use of the optimal activity and energy windows alone is likely not sufficient to restore the DISA Tl SNR to that of Tl-only image.

Original languageEnglish (US)
Pages (from-to)1227-1235
Number of pages9
JournalIEEE Transactions on Nuclear Science
Volume52
Issue number5 I
DOIs
StatePublished - Oct 2005
Externally publishedYes

Keywords

  • Listmode
  • Optimization
  • Simultaneous dual-isotope imaging
  • Tc
  • Tl

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Nuclear Energy and Engineering
  • Electrical and Electronic Engineering

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