Evaluation of different respiratory gating schemes for cardiac SPECT

Duo Zhang, P. Hendrik Pretorius, Mickel Ghaly, Qi Zhang, Michael A. King, Greta S.P. Mok

Research output: Contribution to journalArticle

Abstract

Background: Respiratory gating reduces motion blurring in cardiac SPECT. Here we aim to evaluate the performance of three respiratory gating strategies using a population of digital phantoms with known truth and clinical data. Methods: We analytically simulated 60 projections for 10 XCAT phantoms with 99mTc-sestamibi distributions using three gating schemes: equal amplitude gating (AG), equal count gating (CG), and equal time gating (TG). Clinical list-mode data for 10 patients who underwent 99mTc-sestamibi scans were also processed using the 3 gating schemes. Reconstructed images in each gate were registered to a reference gate, averaged and reoriented to generate the polar plots. For simulations, image noise, relative difference (RD) of averaged count for each of the 17 segment, and relative defect size difference (RSD) were analyzed. For clinical data, image intensity profile and FWHM were measured across the left ventricle wall. Results: For simulations, AG and CG methods showed significantly lower RD and RSD compared to TG, while noise variation was more non-uniform through different gates for AG. In the clinical study, AG and CG had smaller FWHM than TG. Conclusions: AG and CG methods show better performance for motion reduction and are recommended for clinical respiratory gating SPECT implementation.

Original languageEnglish (US)
JournalJournal of Nuclear Cardiology
DOIs
StateAccepted/In press - Jan 1 2018

Fingerprint

Single-Photon Emission-Computed Tomography
Technetium Tc 99m Sestamibi
Heart Ventricles
Noise
Population

Keywords

  • Cardiac perfusion
  • Respiratory gating
  • Simulation
  • SPECT/CT

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Cardiology and Cardiovascular Medicine

Cite this

Evaluation of different respiratory gating schemes for cardiac SPECT. / Zhang, Duo; Pretorius, P. Hendrik; Ghaly, Mickel; Zhang, Qi; King, Michael A.; Mok, Greta S.P.

In: Journal of Nuclear Cardiology, 01.01.2018.

Research output: Contribution to journalArticle

Zhang, Duo ; Pretorius, P. Hendrik ; Ghaly, Mickel ; Zhang, Qi ; King, Michael A. ; Mok, Greta S.P. / Evaluation of different respiratory gating schemes for cardiac SPECT. In: Journal of Nuclear Cardiology. 2018.
@article{65ee2331d13241ee9a953979d5882920,
title = "Evaluation of different respiratory gating schemes for cardiac SPECT",
abstract = "Background: Respiratory gating reduces motion blurring in cardiac SPECT. Here we aim to evaluate the performance of three respiratory gating strategies using a population of digital phantoms with known truth and clinical data. Methods: We analytically simulated 60 projections for 10 XCAT phantoms with 99mTc-sestamibi distributions using three gating schemes: equal amplitude gating (AG), equal count gating (CG), and equal time gating (TG). Clinical list-mode data for 10 patients who underwent 99mTc-sestamibi scans were also processed using the 3 gating schemes. Reconstructed images in each gate were registered to a reference gate, averaged and reoriented to generate the polar plots. For simulations, image noise, relative difference (RD) of averaged count for each of the 17 segment, and relative defect size difference (RSD) were analyzed. For clinical data, image intensity profile and FWHM were measured across the left ventricle wall. Results: For simulations, AG and CG methods showed significantly lower RD and RSD compared to TG, while noise variation was more non-uniform through different gates for AG. In the clinical study, AG and CG had smaller FWHM than TG. Conclusions: AG and CG methods show better performance for motion reduction and are recommended for clinical respiratory gating SPECT implementation.",
keywords = "Cardiac perfusion, Respiratory gating, Simulation, SPECT/CT",
author = "Duo Zhang and Pretorius, {P. Hendrik} and Mickel Ghaly and Qi Zhang and King, {Michael A.} and Mok, {Greta S.P.}",
year = "2018",
month = "1",
day = "1",
doi = "10.1007/s12350-018-1392-7",
language = "English (US)",
journal = "Journal of Nuclear Cardiology",
issn = "1071-3581",
publisher = "Springer New York",

}

TY - JOUR

T1 - Evaluation of different respiratory gating schemes for cardiac SPECT

AU - Zhang, Duo

AU - Pretorius, P. Hendrik

AU - Ghaly, Mickel

AU - Zhang, Qi

AU - King, Michael A.

AU - Mok, Greta S.P.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Background: Respiratory gating reduces motion blurring in cardiac SPECT. Here we aim to evaluate the performance of three respiratory gating strategies using a population of digital phantoms with known truth and clinical data. Methods: We analytically simulated 60 projections for 10 XCAT phantoms with 99mTc-sestamibi distributions using three gating schemes: equal amplitude gating (AG), equal count gating (CG), and equal time gating (TG). Clinical list-mode data for 10 patients who underwent 99mTc-sestamibi scans were also processed using the 3 gating schemes. Reconstructed images in each gate were registered to a reference gate, averaged and reoriented to generate the polar plots. For simulations, image noise, relative difference (RD) of averaged count for each of the 17 segment, and relative defect size difference (RSD) were analyzed. For clinical data, image intensity profile and FWHM were measured across the left ventricle wall. Results: For simulations, AG and CG methods showed significantly lower RD and RSD compared to TG, while noise variation was more non-uniform through different gates for AG. In the clinical study, AG and CG had smaller FWHM than TG. Conclusions: AG and CG methods show better performance for motion reduction and are recommended for clinical respiratory gating SPECT implementation.

AB - Background: Respiratory gating reduces motion blurring in cardiac SPECT. Here we aim to evaluate the performance of three respiratory gating strategies using a population of digital phantoms with known truth and clinical data. Methods: We analytically simulated 60 projections for 10 XCAT phantoms with 99mTc-sestamibi distributions using three gating schemes: equal amplitude gating (AG), equal count gating (CG), and equal time gating (TG). Clinical list-mode data for 10 patients who underwent 99mTc-sestamibi scans were also processed using the 3 gating schemes. Reconstructed images in each gate were registered to a reference gate, averaged and reoriented to generate the polar plots. For simulations, image noise, relative difference (RD) of averaged count for each of the 17 segment, and relative defect size difference (RSD) were analyzed. For clinical data, image intensity profile and FWHM were measured across the left ventricle wall. Results: For simulations, AG and CG methods showed significantly lower RD and RSD compared to TG, while noise variation was more non-uniform through different gates for AG. In the clinical study, AG and CG had smaller FWHM than TG. Conclusions: AG and CG methods show better performance for motion reduction and are recommended for clinical respiratory gating SPECT implementation.

KW - Cardiac perfusion

KW - Respiratory gating

KW - Simulation

KW - SPECT/CT

UR - http://www.scopus.com/inward/record.url?scp=85051860976&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85051860976&partnerID=8YFLogxK

U2 - 10.1007/s12350-018-1392-7

DO - 10.1007/s12350-018-1392-7

M3 - Article

JO - Journal of Nuclear Cardiology

JF - Journal of Nuclear Cardiology

SN - 1071-3581

ER -