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Erschienen in: Journal of Nuclear Cardiology 2/2020

01.04.2020 | Original Article

Evaluation of different respiratory gating schemes for cardiac SPECT

verfasst von: Duo Zhang, BEng, P. Hendrik Pretorius, PhD, Michael Ghaly, PhD, Qi Zhang, BEng, Michael A. King, PhD, DABR, Greta S. P. Mok, PhD

Erschienen in: Journal of Nuclear Cardiology | Ausgabe 2/2020

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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.
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Metadaten
Titel
Evaluation of different respiratory gating schemes for cardiac SPECT
verfasst von
Duo Zhang, BEng
P. Hendrik Pretorius, PhD
Michael Ghaly, PhD
Qi Zhang, BEng
Michael A. King, PhD, DABR
Greta S. P. Mok, PhD
Publikationsdatum
01.04.2020
Verlag
Springer International Publishing
Erschienen in
Journal of Nuclear Cardiology / Ausgabe 2/2020
Print ISSN: 1071-3581
Elektronische ISSN: 1532-6551
DOI
https://doi.org/10.1007/s12350-018-1392-7

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