It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Background
To validate the k-adaptive-t autocalibrating reconstruction for Cartesian sampling (kat-ARC), an exclusive sparse reconstruction technique for four-dimensional (4D) flow cardiac magnetic resonance (CMR) using conservation of mass principle applied to transvalvular flow.
Methods
This observational retrospective study (2020/21-075) was approved by the local ethics committee at the University of East Anglia. Consent was waived. Thirty-five patients who had a clinical CMR scan were included. CMR protocol included cine and 4D flow using Kat-ARC acceleration factor 6. No respiratory navigation was applied. For validation, the agreement between mitral net flow (MNF) and the aortic net flow (ANF) was investigated. Additionally, we checked the agreement between peak aortic valve velocity derived by 4D flow and that derived by continuous-wave Doppler echocardiography in 20 patients.
Results
The median age of our patient population was 63 years (interquartile range [IQR] 54–73), and 18/35 (51%) were male. Seventeen (49%) patients had mitral regurgitation, and seven (20%) patients had aortic regurgitation. Mean acquisition time was 8 ± 4 min. MNF and ANF were comparable: 60 mL (51−78) versus 63 mL (57−77), p = 0.310). There was an association between MNF and ANF (rho = 0.58, p < 0.001). Peak aortic valve velocity by Doppler and 4D flow were comparable (1.40 m/s, [1.30−1.75] versus 1.46 m/s [1.25−2.11], p = 0.602) and also correlated with each other (rho = 0.77, p < 0.001).
Conclusions
Kat-ARC accelerated 4D flow CMR quantified transvalvular flow in accordance with the conservation of mass principle and is primed for clinical translation.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details

1 University of East Anglia, Norwich Medical School, Norfolk, UK (GRID:grid.8273.e) (ISNI:0000 0001 1092 7967); Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK (GRID:grid.240367.4) (ISNI:0000 0004 0445 7876)
2 University of Dundee, Division of Molecular and Clinical Medicine, Dundee, UK (GRID:grid.8241.f) (ISNI:0000 0004 0397 2876)
3 Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK (GRID:grid.240367.4) (ISNI:0000 0004 0445 7876)
4 University of Sheffield Medical School and Sheffield Teaching Hospitals NHS Trust, Department of Infection, Immunity and Cardiovascular disease, Sheffield, UK (GRID:grid.31410.37) (ISNI:0000 0000 9422 8284)
5 ASL Europe, GE Healthcare, Munich, Germany (GRID:grid.31410.37)
6 Pie Medical Imaging BV, Maastricht, the Netherlands (GRID:grid.31410.37)
7 National Heart Centre Singapore, Singapore, Singapore (GRID:grid.419385.2) (ISNI:0000 0004 0620 9905); Duke-NUS Medical School, Singapore, Singapore (GRID:grid.428397.3) (ISNI:0000 0004 0385 0924)
8 University of East Anglia, Norwich Medical School, Norfolk, UK (GRID:grid.8273.e) (ISNI:0000 0001 1092 7967); Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK (GRID:grid.240367.4) (ISNI:0000 0004 0445 7876); University of Sheffield Medical School and Sheffield Teaching Hospitals NHS Trust, Department of Infection, Immunity and Cardiovascular disease, Sheffield, UK (GRID:grid.31410.37) (ISNI:0000 0000 9422 8284)