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Novel SPECT Technologies and Approaches in Cardiac Imaging

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Abstract

Recent novel approaches in myocardial perfusion single photon emission CT (SPECT) have been facilitated by new dedicated high-efficiency hardware with solid-state detectors and optimized collimators. New protocols include very low-dose (1 mSv) stress-only, two-position imaging to mitigate attenuation artifacts, and simultaneous dual-isotope imaging. Attenuation correction can be performed by specialized low-dose systems or by previously obtained CT coronary calcium scans. Hybrid protocols using CT angiography have been proposed. Image quality improvements have been demonstrated by novel reconstructions and motion correction. Fast SPECT acquisition facilitates dynamic flow and early function measurements. Image processing algorithms have become automated with virtually unsupervised extraction of quantitative imaging variables. This automation facilitates integration with clinical variables derived by machine learning to predict patient outcome or diagnosis. In this review, we describe new imaging protocols made possible by the new hardware developments. We also discuss several novel software approaches for the quantification and interpretation of myocardial perfusion SPECT scans.

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Affiliations
1Departments of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
2Department of Nuclear Medicine, Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan
Author notes
Correspondence: Piotr Slomka, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA, E-mail: piotr.slomka@123456cshs.org
Journal
CVIA
Cardiovascular Innovations and Applications
CVIA
Compuscript (Ireland)
2009-8782
2009-8618
December 2016
March 2017
: 2
: 1
: 31-46
Copyright © 2017 Cardiovascular Innovations and Applications

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License (CC BY-NC 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc/4.0/.

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