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Quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance
BACKGROUND: Current myocardial perfusion measurements make use of an ECG-gated pulse sequence to track the uptake and washout of a gadolinium-based contrast agent. The use of a gated acquisition is a problem in situations with a poor ECG signal. Recently, an ungated perfusion acquisition was propose...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4325943/ https://www.ncbi.nlm.nih.gov/pubmed/25827080 http://dx.doi.org/10.1186/s12968-015-0109-1 |
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author | Likhite, Devavrat Adluru, Ganesh Hu, Nan McGann, Chris DiBella, Edward |
author_facet | Likhite, Devavrat Adluru, Ganesh Hu, Nan McGann, Chris DiBella, Edward |
author_sort | Likhite, Devavrat |
collection | PubMed |
description | BACKGROUND: Current myocardial perfusion measurements make use of an ECG-gated pulse sequence to track the uptake and washout of a gadolinium-based contrast agent. The use of a gated acquisition is a problem in situations with a poor ECG signal. Recently, an ungated perfusion acquisition was proposed but it is not known how accurately quantitative perfusion estimates can be made from such datasets that are acquired without any triggering signal. METHODS: An undersampled saturation recovery radial turboFLASH pulse sequence was used in 7 subjects to acquire dynamic contrast-enhanced images during free-breathing. A single saturation pulse was followed by acquisition of 4–5 slices after a delay of ~40 msec. This was repeated without pause and without any type of gating. The same pulse sequence, with ECG-gating, was used to acquire gated data as a ground truth. An iterative spatio-temporal constrained reconstruction was used to reconstruct the undersampled images. After reconstruction, the ungated images were retrospectively binned (“self-gated”) into two cardiac phases using a region of interest based technique and deformably registered into near-systole and near-diastole. The gated and the self-gated datasets were then quantified with standard methods. RESULTS: Regional myocardial blood flow estimates (MBFs) obtained using self-gated systole (0.64 ± 0.26 ml/min/g), self-gated diastole (0.64 ± 0.26 ml/min/g), and ECG-gated scans (0.65 ± 0.28 ml/min/g) were similar. Based on the criteria for interchangeable methods listed in the statistical analysis section, the MBF values estimated from self-gated and gated methods were not significantly different. CONCLUSION: The self-gated technique for quantification of regional myocardial perfusion matched ECG-gated perfusion measurements well in normal subjects at rest. Self-gated systolic perfusion values matched ECG-gated perfusion values better than did diastolic values. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12968-015-0109-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4325943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43259432015-02-13 Quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance Likhite, Devavrat Adluru, Ganesh Hu, Nan McGann, Chris DiBella, Edward J Cardiovasc Magn Reson Research BACKGROUND: Current myocardial perfusion measurements make use of an ECG-gated pulse sequence to track the uptake and washout of a gadolinium-based contrast agent. The use of a gated acquisition is a problem in situations with a poor ECG signal. Recently, an ungated perfusion acquisition was proposed but it is not known how accurately quantitative perfusion estimates can be made from such datasets that are acquired without any triggering signal. METHODS: An undersampled saturation recovery radial turboFLASH pulse sequence was used in 7 subjects to acquire dynamic contrast-enhanced images during free-breathing. A single saturation pulse was followed by acquisition of 4–5 slices after a delay of ~40 msec. This was repeated without pause and without any type of gating. The same pulse sequence, with ECG-gating, was used to acquire gated data as a ground truth. An iterative spatio-temporal constrained reconstruction was used to reconstruct the undersampled images. After reconstruction, the ungated images were retrospectively binned (“self-gated”) into two cardiac phases using a region of interest based technique and deformably registered into near-systole and near-diastole. The gated and the self-gated datasets were then quantified with standard methods. RESULTS: Regional myocardial blood flow estimates (MBFs) obtained using self-gated systole (0.64 ± 0.26 ml/min/g), self-gated diastole (0.64 ± 0.26 ml/min/g), and ECG-gated scans (0.65 ± 0.28 ml/min/g) were similar. Based on the criteria for interchangeable methods listed in the statistical analysis section, the MBF values estimated from self-gated and gated methods were not significantly different. CONCLUSION: The self-gated technique for quantification of regional myocardial perfusion matched ECG-gated perfusion measurements well in normal subjects at rest. Self-gated systolic perfusion values matched ECG-gated perfusion values better than did diastolic values. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12968-015-0109-1) contains supplementary material, which is available to authorized users. BioMed Central 2015-02-12 /pmc/articles/PMC4325943/ /pubmed/25827080 http://dx.doi.org/10.1186/s12968-015-0109-1 Text en © Likhite et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Likhite, Devavrat Adluru, Ganesh Hu, Nan McGann, Chris DiBella, Edward Quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance |
title | Quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance |
title_full | Quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance |
title_fullStr | Quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance |
title_full_unstemmed | Quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance |
title_short | Quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance |
title_sort | quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4325943/ https://www.ncbi.nlm.nih.gov/pubmed/25827080 http://dx.doi.org/10.1186/s12968-015-0109-1 |
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