Validation and Evaluation of Model-based Cross-talk Compensation Method in Simultaneous 99mTc Stress and 201Tl Rest Myocardial Perfusion SPECT

X. Song, E. C. Frey, W. T. Wang, Y. Du, B. M.W. Tsui

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

Simultaneous acquisition of 99mTc stress and 201Tl rest myocardial perfusion SPECT has several potential advantages, but the image quality is degraded by cross-talk between the Tc and Tl data. We have previously developed down-scatter and Pb x-ray models for cross-talk compensation. In this work, we validated these models by comparing the cross-talk from 99mTc to the Tl window calculated using our models with the cross-talk simulated using a combination of the SimSET-MCNP Monte Carlo simulation codes. We have also evaluated the model-based cross-talk compensation method using both simulated data from MCAT phantoms and experimental data from a physical phantom with a myocardial defect. In the studies the Tl distributions were reconstructed from cross-talk contaminated data without cross-talk compensation, with compensation using the model-calculated cross-talk or using the true cross-talk, and were compared with that from uncontaminated Tl data. Results show that the models gave good estimates of both the down-scatter photons and Pb x-rays in the simultaneous dual isotopes myocardial perfusion SPECT. Also, the results show that model-based cross-talk compensation method provided image quality significantly improved as compared to no compensation and very close to that from the separate acquisition.

Original languageEnglish (US)
Pages1370-1374
Number of pages5
StatePublished - 2002
Event2002 IEEE Nuclear Science Symposium Conference Record - Norfolk, VA, United States
Duration: Nov 10 2002Nov 16 2002

Other

Other2002 IEEE Nuclear Science Symposium Conference Record
Country/TerritoryUnited States
CityNorfolk, VA
Period11/10/0211/16/02

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

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