ArticleMagnetic resonance in medicine2020
Automatic in-line quantitative myocardial perfusion mapping: Processing algorithm and implementation.
Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Society for cardiovascular magnetic resonance expert consensus statement on quantitative myocardial perfusion cardiovascular magnetic resonance imaging.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic ResonanceGuideline
- Impact of rate-pressure product correction of myocardial blood flow on the prognostic relevance in patients with heart failure.European heart journal. Cardiovascular Imaging · 2026Article
- Article
- Hyperaemic effects of adenosine and dobutamine in heart failure with reduced ejection fraction: a quantitative perfusion CMR study.European heart journal. Imaging methods and practice · 2026Article
- Pulmonary Transit Time Can Be Accurately Quantified From Non-Arterial Input Function Series in First-Pass Cardiac Perfusion MRI.Magnetic resonance in medicine · 2026Article
- Study Protocol for HeartMagic: A Prospective Observational Cohort Characterizing Subtypes of Heart Failure With Preserved Ejection Fraction.Journal of the American Heart Association · 2025Article
- Value of cardiovascular magnetic resonance-derived quantitative myocardial blood flow assessment in the setting of chronic coronary occlusion.European heart journal. Cardiovascular Imaging · 2025Article
- Cardiovascular magnetic resonance to differentiate veteran athlete's heart with cavity dilatation and mild dilated cardiomyopathy.European heart journal. Cardiovascular Imaging · 2025Article
- Quantitative cardiovascular magnetic resonance myocardial perfusion can discriminate significant cardiac allograft vasculopathy: a multi-centre study.European heart journal. Cardiovascular Imaging · 2025Article
- Conditional diffusion-generated super-resolution for myocardial perfusion MRI.Frontiers in cardiovascular medicine · 2025Article
- Visually assessed ischemia on cardiac magnetic resonance, but not quantitative perfusion metrics, predicts symptomatic improvement in coronary artery bypass.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025Article
- Repeatability of fully automated, inline quantitative assessment of myocardial perfusion in patients with suspected coronary artery disease.European heart journal. Imaging methods and practice · 2024Article
- Deep learning-based rapid image reconstruction and motion correction for high-resolution cartesian first-pass myocardial perfusion imaging at 3T.Magnetic resonance in medicine · 2024Article
- Automatic calculation of myocardial perfusion reserve using deep learning with uncertainty quantification.Quantitative imaging in medicine and surgery · 2023Article
- A simplified method to correct saturation of arterial input function for cardiac magnetic resonance first-pass perfusion imaging: validation with simultaneously acquired PET.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023Article
- Left Ventricle Detection from Cardiac Magnetic Resonance Relaxometry Images Using Visual Transformer.Sensors (Basel, Switzerland) · 2023Article
- Sex- and age-specific normal values for automated quantitative pixel-wise myocardial perfusion cardiovascular magnetic resonance.European heart journal. Cardiovascular Imaging · 2023Article
- Machine Learning Approaches in Diagnosis, Prognosis and Treatment Selection of Cardiac Amyloidosis.International journal of molecular sciences · 2023Review
- Stress native T1 and native T2 mapping compared to myocardial perfusion reserve in long-term follow-up of severe Covid-19.Scientific reports · 2023Article
- AI-AIF: artificial intelligence-based arterial input function for quantitative stress perfusion cardiac magnetic resonance.European heart journal. Digital health · 2023Article
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5 authors.
Funding
Abstract
purposeQuantitative myocardial perfusion mapping has advantages over qualitative assessment, including the ability to detect global flow reduction. However, it is not clinically available and remains a research tool. Building upon the previously described imaging sequence, this study presents algorithm and implementation of an automated solution for inline perfusion flow mapping with step by step performance characterization.
methodsProposed workflow consists of motion correction (MOCO), arterial input function blood detection, intensity to gadolinium concentration conversion, and pixel-wise mapping. A distributed kinetics model, blood-tissue exchange model, is implemented, computing pixel-wise maps of myocardial blood flow (mL/min/g), permeability-surface-area product (mL/min/g), blood volume (mL/g), and interstitial volume (mL/g).
resultsThirty healthy subjects (11 men; 26.4 ± 10.4 years) were recruited and underwent adenosine stress perfusion cardiovascular MR. Mean MOCO quality score was 3.6 ± 0.4 for stress and 3.7 ± 0.4 for rest. Myocardial Dice similarity coefficients after MOCO were significantly improved (P < 1e-6), 0.87 ± 0.05 for stress and 0.86 ± 0.06 for rest. Arterial input function peak gadolinium concentration was 4.4 ± 1.3 mmol/L at stress and 5.2 ± 1.5 mmol/L at rest. Mean myocardial blood flow at stress and rest were 2.82 ± 0.47 mL/min/g and 0.68 ± 0.16 mL/min/g, respectively. The permeability-surface-area product was 1.32 ± 0.26 mL/min/g at stress and 1.09 ± 0.21 mL/min/g at rest (P < 1e-3). Blood volume was 12.0 ± 0.8 mL/100 g at stress and 9.7 ± 1.0 mL/100 g at rest (P < 1e-9), indicating good adenosine vasodilation response. Interstitial volume was 20.8 ± 2.5 mL/100 g at stress and 20.3 ± 2.9 mL/100 g at rest (P = 0.50).
conclusionsAn inline perfusion flow mapping workflow is proposed and demonstrated on normal volunteers. Initial evaluation demonstrates this fully automated solution for the respiratory MOCO, arterial input function left ventricle mask detection, and pixel-wise mapping, from free-breathing myocardial perfusion imaging.
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