Motion-corrected 3D whole-heart water-fat high-resolution late gadolinium enhancement cardiovascular magnetic resonance imaging.
Adipose Tissue
/ diagnostic imaging
Adiposity
Adult
Aged
Body Water
/ chemistry
Breath Holding
Cardiac-Gated Imaging Techniques
Cardiovascular Diseases
/ diagnostic imaging
Contrast Media
/ administration & dosage
Electrocardiography
Female
Heart
/ diagnostic imaging
Humans
Imaging, Three-Dimensional
Magnetic Resonance Imaging
Male
Middle Aged
Organometallic Compounds
/ administration & dosage
Predictive Value of Tests
Reproducibility of Results
3D whole-heart
Accelerated imaging
Late gadolinium enhancement
Motion-correction
Water/fat cardiovascular magnetic resonance imaging
Journal
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
ISSN: 1532-429X
Titre abrégé: J Cardiovasc Magn Reson
Pays: England
ID NLM: 9815616
Informations de publication
Date de publication:
20 07 2020
20 07 2020
Historique:
received:
03
10
2019
accepted:
17
06
2020
entrez:
21
7
2020
pubmed:
21
7
2020
medline:
7
10
2020
Statut:
epublish
Résumé
Conventional 2D inversion recovery (IR) and phase sensitive inversion recovery (PSIR) late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) have been widely incorporated into routine CMR for the assessment of myocardial viability. However, reliable suppression of fat signal, and increased isotropic spatial resolution and volumetric coverage within a clinically feasible scan time remain a challenge. In order to address these challenges, this work proposes a highly efficient respiratory motion-corrected 3D whole-heart water/fat LGE imaging framework. An accelerated IR-prepared 3D dual-echo acquisition and motion-corrected reconstruction framework for whole-heart water/fat LGE imaging was developed. The acquisition sequence includes 2D image navigators (iNAV), which are used to track the respiratory motion of the heart and enable 100% scan efficiency. Non-rigid motion information estimated from the 2D iNAVs and from the data itself is integrated into a high-dimensional patch-based undersampled reconstruction technique (HD-PROST), to produce high-resolution water/fat 3D LGE images. A cohort of 20 patients with known or suspected cardiovascular disease was scanned with the proposed 3D water/fat LGE approach. 3D water LGE images were compared to conventional breath-held 2D LGE images (2-chamber, 4-chamber and stack of short-axis views) in terms of image quality (1: full diagnostic to 4: non-diagnostic) and presence of LGE findings. Image quality was considered diagnostic in 18/20 datasets for both 2D and 3D LGE magnitude images, with comparable image quality scores (2D: 2.05 ± 0.72, 3D: 1.88 ± 0.90, p-value = 0.62) and overall agreement in LGE findings. Acquisition time for isotropic high-resolution (1.3mm A novel framework for motion-corrected whole-heart 3D water/fat LGE imaging has been introduced. The method was validated in patients with known or suspected cardiovascular disease, showing good agreement with conventional breath-held 2D LGE imaging, but offering higher spatial resolution, improved volumetric coverage and good image quality from a free-breathing acquisition with 100% scan efficiency and predictable scan time.
Sections du résumé
BACKGROUND
Conventional 2D inversion recovery (IR) and phase sensitive inversion recovery (PSIR) late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) have been widely incorporated into routine CMR for the assessment of myocardial viability. However, reliable suppression of fat signal, and increased isotropic spatial resolution and volumetric coverage within a clinically feasible scan time remain a challenge. In order to address these challenges, this work proposes a highly efficient respiratory motion-corrected 3D whole-heart water/fat LGE imaging framework.
METHODS
An accelerated IR-prepared 3D dual-echo acquisition and motion-corrected reconstruction framework for whole-heart water/fat LGE imaging was developed. The acquisition sequence includes 2D image navigators (iNAV), which are used to track the respiratory motion of the heart and enable 100% scan efficiency. Non-rigid motion information estimated from the 2D iNAVs and from the data itself is integrated into a high-dimensional patch-based undersampled reconstruction technique (HD-PROST), to produce high-resolution water/fat 3D LGE images. A cohort of 20 patients with known or suspected cardiovascular disease was scanned with the proposed 3D water/fat LGE approach. 3D water LGE images were compared to conventional breath-held 2D LGE images (2-chamber, 4-chamber and stack of short-axis views) in terms of image quality (1: full diagnostic to 4: non-diagnostic) and presence of LGE findings.
RESULTS
Image quality was considered diagnostic in 18/20 datasets for both 2D and 3D LGE magnitude images, with comparable image quality scores (2D: 2.05 ± 0.72, 3D: 1.88 ± 0.90, p-value = 0.62) and overall agreement in LGE findings. Acquisition time for isotropic high-resolution (1.3mm
CONCLUSION
A novel framework for motion-corrected whole-heart 3D water/fat LGE imaging has been introduced. The method was validated in patients with known or suspected cardiovascular disease, showing good agreement with conventional breath-held 2D LGE imaging, but offering higher spatial resolution, improved volumetric coverage and good image quality from a free-breathing acquisition with 100% scan efficiency and predictable scan time.
Identifiants
pubmed: 32684167
doi: 10.1186/s12968-020-00649-5
pii: 10.1186/s12968-020-00649-5
pmc: PMC7370486
doi:
Substances chimiques
Contrast Media
0
Organometallic Compounds
0
gadobutrol
1BJ477IO2L
Types de publication
Comparative Study
Journal Article
Research Support, Non-U.S. Gov't
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
53Subventions
Organisme : British Heart Foundation
ID : PG/18/59/33955
Pays : United Kingdom
Organisme : Department of Health
Pays : United Kingdom
Organisme : Wellcome Trust
ID : WT 203148/Z/16/Z
Pays : United Kingdom
Références
Magn Reson Med. 2004 May;51(5):1055-60
pubmed: 15122690
Curr Cardiovasc Imaging Rep. 2010 Apr;3(2):83-91
pubmed: 20401158
J Magn Reson Imaging. 2013 Nov;38(5):1210-4
pubmed: 23197465
AJR Am J Roentgenol. 2009 Nov;193(5):W381-8
pubmed: 19843715
J Cardiovasc Magn Reson. 2017 Nov 27;19(1):94
pubmed: 29178893
J Magn Reson Imaging. 2012 Sep;36(3):529-42
pubmed: 22903654
Radiology. 2007 Jun;243(3):690-5
pubmed: 17517928
J Magn Reson Imaging. 2008 Apr;27(4):802-8
pubmed: 18302233
JACC Cardiovasc Imaging. 2018 Jan;11(1):94-107
pubmed: 28624396
J Magn Reson Imaging. 2014 Jul;40(1):119-25
pubmed: 24105717
Magn Reson Med. 2008 Sep;60(3):503-9
pubmed: 18727051
J Magn Reson Imaging. 2009 Oct;30(4):794-800
pubmed: 19787731
Magn Reson Med. 2017 Apr;77(4):1533-1543
pubmed: 27122450
Radiology. 2012 Sep;264(3):691-9
pubmed: 22820734
Circulation. 1999 Nov 9;100(19):1992-2002
pubmed: 10556226
Magn Reson Med. 2017 May;77(5):1874-1883
pubmed: 27174590
Magn Reson Med. 2014 Jun;71(6):2118-26
pubmed: 23878103
Clin Nucl Med. 2017 Jul;42(7):e328-e334
pubmed: 28418949
J Magn Reson Imaging. 2008 Dec;28(6):1361-7
pubmed: 19025943
Magn Reson Med. 2009 Jan;61(1):215-21
pubmed: 19097213
J Magn Reson Imaging. 2013 Feb;37(2):484-90
pubmed: 22927327
J Nucl Cardiol. 2018 Jun;25(3):785-794
pubmed: 27638745
Circ Cardiovasc Imaging. 2015 Feb;8(2):e002769
pubmed: 25652181
J Magn Reson Imaging. 2015 Mar;41(3):738-46
pubmed: 24573992
Europace. 2013 Dec;15(12):1725-32
pubmed: 23711578
J Cardiovasc Magn Reson. 2013 Oct 08;15:91
pubmed: 24103764
Magn Reson Imaging. 2011 May;29(4):568-78
pubmed: 21292418
J Cardiovasc Magn Reson. 2017 Dec 04;19(1):97
pubmed: 29202776
Magn Reson Med. 2014 Feb;71(2):599-607
pubmed: 23504975
J Magn Reson Imaging. 2017 Dec;46(6):1829-1838
pubmed: 28301075
Magn Reson Med. 2014 Sep;72(3):779-85
pubmed: 24151231
Magn Reson Med. 2019 Jan;81(1):102-115
pubmed: 30058252
J Magn Reson Imaging. 2013 Dec;38(6):1362-8
pubmed: 23559381
J Magn Reson Imaging. 2019 May;49(5):1437-1445
pubmed: 30597661
Magn Reson Med. 2019 Aug;82(2):732-742
pubmed: 30927310
J Cardiovasc Magn Reson. 2020 Feb 24;22(1):17
pubmed: 32089132
Magn Reson Med. 2013 Apr;69(4):1083-93
pubmed: 22648856
Magn Reson Med. 2017 Nov;78(5):1862-1869
pubmed: 27933641
Radiology. 2001 Jan;218(1):215-23
pubmed: 11152805
J Magn Reson Imaging. 2007 Sep;26(3):624-9
pubmed: 17729350
Magn Reson Med. 1995 May;33(5):713-9
pubmed: 7596276
Magn Reson Med. 2017 May;77(5):1894-1908
pubmed: 27221073
Magn Reson Med. 2012 Feb;67(2):437-45
pubmed: 21656563
Clin Med Insights Cardiol. 2014 Oct 19;8(Suppl 1):25-30
pubmed: 25368540
Magn Reson Med. 2002 Feb;47(2):372-83
pubmed: 11810682
JACC Cardiovasc Imaging. 2017 May;10(5):594-597
pubmed: 27372018
J Magn Reson Imaging. 2013 Nov;38(5):1276-82
pubmed: 23389851
Magn Reson Med. 2001 Oct;46(4):638-51
pubmed: 11590639
Magn Reson Med. 2019 Jun;81(6):3705-3719
pubmed: 30834594