ArticleMagnetic resonance in medicine2022
Optimal saturation recovery time for minimizing the underestimation of arterial input function in quantitative cardiac perfusion MRI.
Article in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Pulmonary Transit Time Can Be Accurately Quantified From Non-Arterial Input Function Series in First-Pass Cardiac Perfusion MRI.Magnetic resonance in medicine · 2026Article
- Myocardial blood flow quantification in patients with an implanted cardiodefibrillator during stress and at rest using a wideband perfusion pulse sequence: an initial feasibility study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025Article
- Optimal saturation recovery time for minimizing the underestimation of arterial input function in quantitative cardiac perfusion MRI.Magnetic resonance in medicine · 2022Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
purposeThe purpose of this study was to determine an optimal saturation-recovery time (TS) for minimizing the underestimation of arterial input function (AIF) in quantitative cardiac perfusion MRI without multiple gadolinium injections per subject.
methodsWe scanned 18 subjects (mean age = 59 ± 14 years, 9/9 males/females) to acquire resting perfusion data and 1 additional subject (age = 38 years, male) to obtain stress-rest perfusion data using a 5-fold accelerated pulse sequence with radial k-space sampling and applied k-space weighted image contrast (KWIC) filters on the same k-space data to retrospectively reconstruct five AIF images with effective TS ranging from 10 to 21.2 ms (2.8 ms steps). Undersampled images were reconstructed using a compressed sensing framework with temporal-total-variation and temporal-principal-component as 2 orthogonal sparsifying transforms. The image processing steps included, same motion correction across five different AIF images, signal normalization by the proton-density-weighted-image, signal-to-T
resultsAmong five TS values, the shortest TS (10 ms) produced significantly (P < 0.05) higher peak AIF and lower resting MBF (13.73 mM, 0.73 mL g
conclusionThis study demonstrates that TS of 10 ms reduces the underestimation of AIF and, hence, the overestimation of MBF compared with longer TS values (12.8-21.2 ms).
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