Matches in SemOpenAlex for { <https://semopenalex.org/work/W4212837264> ?p ?o ?g. }
- W4212837264 endingPage "4351" @default.
- W4212837264 startingPage "4340" @default.
- W4212837264 abstract "To investigate the efficacy of an in-line non-rigid motion-compensated reconstruction (NRC) in an image-navigated high-resolution three-dimensional late gadolinium enhancement (LGE) sequence with Dixon water-fat separation, in a clinical setting.Forty-seven consecutive patients were enrolled prospectively and examined with 1.5 T MRI. NRC reconstructions were compared to translational motion-compensated reconstructions (TC) of the same datasets in overall and different sub-category image quality scores, diagnostic confidence, contrast ratios, LGE pattern, and semiautomatic LGE quantification.NRC outperformed TC in all image quality scores (p < 0.001 to 0.016; e.g., overall image quality 5/5 points vs. 4/5). Overall image quality was downgraded in only 23% of NRC datasets vs. 53% of TC datasets due to residual respiratory motion. In both reconstructions, LGE was rated as ischemic in 11 patients and non-ischemic in 10 patients, while it was absent in 26 patients. NRC delivered significantly higher LGE-to-myocardium and blood-to-myocardium contrast ratios (median 6.33 vs. 5.96, p < 0.001 and 4.88 vs. 4.66, p < 0.001, respectively). Automatically detected LGE mass was significantly lower in the NRC reconstruction (p < 0.001). Diagnostic confidence was identical in all cases, with high confidence in 89% and probable in 11% datasets for both reconstructions. No case was rated as inconclusive.The in-line implementation of a non-rigid motion-compensated reconstruction framework improved image quality in image-navigated free-breathing, isotropic high-resolution 3D LGE imaging with undersampled spiral-like Cartesian sampling and Dixon water-fat separation compared to translational motion correction of the same datasets. The sharper depictions of LGE may lead to more accurate measures of LGE mass.• 3D LGE imaging provides high-resolution detection of myocardial scarring. • Non-rigid motion correction provides better image quality in cardiac MRI. • Non-rigid motion correction may lead to more accurate measures of LGE mass." @default.
- W4212837264 created "2022-02-24" @default.
- W4212837264 creator A5005174780 @default.
- W4212837264 creator A5009880092 @default.
- W4212837264 creator A5021771719 @default.
- W4212837264 creator A5024150669 @default.
- W4212837264 creator A5031882753 @default.
- W4212837264 creator A5034985469 @default.
- W4212837264 creator A5040324764 @default.
- W4212837264 creator A5054010302 @default.
- W4212837264 creator A5064308224 @default.
- W4212837264 creator A5081412176 @default.
- W4212837264 creator A5082305673 @default.
- W4212837264 creator A5091118148 @default.
- W4212837264 date "2022-02-20" @default.
- W4212837264 modified "2023-10-07" @default.
- W4212837264 title "Non-rigid motion-corrected free-breathing 3D myocardial Dixon LGE imaging in a clinical setting" @default.
- W4212837264 cites W1529059724 @default.
- W4212837264 cites W1553382600 @default.
- W4212837264 cites W1560425183 @default.
- W4212837264 cites W1568912756 @default.
- W4212837264 cites W1928736390 @default.
- W4212837264 cites W1954043550 @default.
- W4212837264 cites W1966190213 @default.
- W4212837264 cites W1968885893 @default.
- W4212837264 cites W2007710213 @default.
- W4212837264 cites W2042771620 @default.
- W4212837264 cites W2044450859 @default.
- W4212837264 cites W2045477004 @default.
- W4212837264 cites W2057691469 @default.
- W4212837264 cites W2088444963 @default.
- W4212837264 cites W2096799929 @default.
- W4212837264 cites W2101698537 @default.
- W4212837264 cites W2121499911 @default.
- W4212837264 cites W2134886608 @default.
- W4212837264 cites W2135557028 @default.
- W4212837264 cites W2139551936 @default.
- W4212837264 cites W2151354228 @default.
- W4212837264 cites W2159584432 @default.
- W4212837264 cites W2164777277 @default.
- W4212837264 cites W2167864124 @default.
- W4212837264 cites W2169792482 @default.
- W4212837264 cites W2293210385 @default.
- W4212837264 cites W2402556662 @default.
- W4212837264 cites W2516121600 @default.
- W4212837264 cites W2548620780 @default.
- W4212837264 cites W2598824839 @default.
- W4212837264 cites W2606356331 @default.
- W4212837264 cites W2771333733 @default.
- W4212837264 cites W2781923139 @default.
- W4212837264 cites W2793392329 @default.
- W4212837264 cites W2795410575 @default.
- W4212837264 cites W2801187815 @default.
- W4212837264 cites W2891860980 @default.
- W4212837264 cites W2926127779 @default.
- W4212837264 cites W2982122007 @default.
- W4212837264 cites W3012802901 @default.
- W4212837264 cites W3016363376 @default.
- W4212837264 cites W3043437364 @default.
- W4212837264 cites W3092141426 @default.
- W4212837264 cites W3108275442 @default.
- W4212837264 doi "https://doi.org/10.1007/s00330-022-08560-6" @default.
- W4212837264 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35184220" @default.
- W4212837264 hasPublicationYear "2022" @default.
- W4212837264 type Work @default.
- W4212837264 citedByCount "2" @default.
- W4212837264 countsByYear W42128372642022 @default.
- W4212837264 crossrefType "journal-article" @default.
- W4212837264 hasAuthorship W4212837264A5005174780 @default.
- W4212837264 hasAuthorship W4212837264A5009880092 @default.
- W4212837264 hasAuthorship W4212837264A5021771719 @default.
- W4212837264 hasAuthorship W4212837264A5024150669 @default.
- W4212837264 hasAuthorship W4212837264A5031882753 @default.
- W4212837264 hasAuthorship W4212837264A5034985469 @default.
- W4212837264 hasAuthorship W4212837264A5040324764 @default.
- W4212837264 hasAuthorship W4212837264A5054010302 @default.
- W4212837264 hasAuthorship W4212837264A5064308224 @default.
- W4212837264 hasAuthorship W4212837264A5081412176 @default.
- W4212837264 hasAuthorship W4212837264A5082305673 @default.
- W4212837264 hasAuthorship W4212837264A5091118148 @default.
- W4212837264 hasBestOaLocation W42128372641 @default.
- W4212837264 hasConcept C105702510 @default.
- W4212837264 hasConcept C115961682 @default.
- W4212837264 hasConcept C118552586 @default.
- W4212837264 hasConcept C126322002 @default.
- W4212837264 hasConcept C126838900 @default.
- W4212837264 hasConcept C154945302 @default.
- W4212837264 hasConcept C16568411 @default.
- W4212837264 hasConcept C2779889316 @default.
- W4212837264 hasConcept C2989005 @default.
- W4212837264 hasConcept C39300077 @default.
- W4212837264 hasConcept C41008148 @default.
- W4212837264 hasConcept C44249647 @default.
- W4212837264 hasConcept C55020928 @default.
- W4212837264 hasConcept C71924100 @default.
- W4212837264 hasConceptScore W4212837264C105702510 @default.
- W4212837264 hasConceptScore W4212837264C115961682 @default.
- W4212837264 hasConceptScore W4212837264C118552586 @default.