Quantification of balanced SSFP myocardial perfusion imaging at 1.5 T: Impact of the reference image

McElroy, Sarah; Kunze, Karl; Milidonis, Xenios; Huang, Li; Nazir, Muhummad Sohaib; Evans, Carl; Bosio, Filippo; Mughal, Nabila; Masci, Pier Giorgio; Neji, Radhouène; Razavi, Reza; Chiribiri, Amedeo; Roujol, Sébastien

doi:10.1002/mrm.29019

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“…For all time frames within both of these series, image signal inside the bounding box was converted to gadolinium concentration via Bloch equation signal modelling, with PD images used for normalization. 23 , 29 Automated segmentation of the LV blood pool allowed AIF–time curve sampling from the gadolinium-converted AIF series ( Figure 1 ). Finally, a Fermi-constrained deconvolution was applied to the first-pass section of each pixel time curve of the myocardial series, allowing pixel-wise estimation of MBF.…”

Section: Methodsmentioning

confidence: 99%

High-resolution free-breathing automated quantitative myocardial perfusion by cardiovascular magnetic resonance for the detection of functionally significant coronary artery disease

Crawley,

Kunze,

Milidonis

et al. 2024

European Heart Journal - Cardiovascular Imaging

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Aims Current assessment of myocardial ischaemia from stress perfusion cardiovascular magnetic resonance (SP-CMR) largely relies on visual interpretation. This study investigated the use of high-resolution free-breathing SP-CMR with automated quantitative mapping in the diagnosis of coronary artery disease (CAD). Diagnostic performance was evaluated against invasive coronary angiography (ICA) with fractional flow reserve (FFR) measurement. Methods & Results Seven-hundred and three patients were recruited for SP-CMR using the research sequence at 3 Tesla. Of those receiving ICA within 6 months, 80 patients either had FFR measurement, or identification of a chronic total occlusion (CTO) with inducible perfusion defects seen on SP-CMR. Myocardial blood flow (MBF) maps were automatically generated in-line on the scanner following image acquisition at hyperaemic stress and rest, allowing myocardial perfusion reserve (MPR) calculation. 75 coronary vessels assessed by FFR, and 28 vessels with CTO were evaluated at both segmental and coronary territory level. Coronary territory stress MBF and MPR were reduced in FFR-positive (≤ 0.80) regions (median stress MBF: 1.74 [0.90-2.17] ml/min/g; MPR: 1.67 [1.10-1.89]) compared with FFR-negative regions (stress MBF: 2.50 [2.15-2.95] ml/min/g; MPR 2.35 [2.06-2.54] p < 0.001 for both). Stress MBF ≤ 1.94 ml/min/g and MPR ≤ 1.97 accurately detected FFR-positive CAD on a per-vessel basis (area under the curve: 0.85 and 0.96 respectively; p < 0.001 for both). Conclusions A novel scanner-integrated high-resolution free-breathing SP-CMR sequence with automated in-line perfusion mapping is presented which accurately detects functionally significant CAD.

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Section: Methodsmentioning

confidence: 99%

High-resolution free-breathing automated quantitative myocardial perfusion by cardiovascular magnetic resonance for the detection of functionally significant coronary artery disease

Crawley,

Kunze,

Milidonis

et al. 2024

European Heart Journal - Cardiovascular Imaging

Self Cite

View full text Add to dashboard Cite

show abstract

Quantification of balanced SSFP myocardial perfusion imaging at 1.5 T: Impact of the reference image

Abstract: This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 1 publication

References 40 publications

High-resolution free-breathing automated quantitative myocardial perfusion by cardiovascular magnetic resonance for the detection of functionally significant coronary artery disease

High-resolution free-breathing automated quantitative myocardial perfusion by cardiovascular magnetic resonance for the detection of functionally significant coronary artery disease

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