Aortic 4D flow MRI in 2 minutes using compressed sensing, respiratory controlled adaptive k-space reordering, and inline reconstruction.


Journal

Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245

Informations de publication

Date de publication:
06 2019
Historique:
received: 17 10 2018
revised: 14 01 2019
accepted: 15 01 2019
pubmed: 26 2 2019
medline: 19 5 2020
entrez: 26 2 2019
Statut: ppublish

Résumé

To evaluate the accuracy and feasibility of a free-breathing 4D flow technique using compressed sensing (CS), where 4D flow imaging of the thoracic aorta is performed in 2 min with inline image reconstruction on the MRI scanner in less than 5 min. The 10 in vitro 4D flow MRI scans were performed with different acceleration rates on a pulsatile flow phantom (9 CS acceleration factors [R = 5.4-14.1], 1 generalized autocalibrating partially parallel acquisition [GRAPPA] R = 2). Based on in vitro results, CS-accelerated 4D flow of the thoracic aorta was acquired in 20 healthy volunteers (38.3 ± 15.2 years old) and 11 patients with aortic disease (61.3 ± 15.1 years) with R = 7.7. A conventional 4D flow scan was acquired with matched spatial coverage and temporal resolution. CS depicted similar hemodynamics to conventional 4D flow in vitro, and in vivo, with >70% reduction in scan time (volunteers: 1:52 ± 0:25 versus 7:25 ± 2:35 min). Net flow values were within 3.5% in healthy volunteers, and voxel-by-voxel comparison demonstrated good agreement. CS significantly underestimated peak velocities (v Aortic 4D flow with CS is feasible in a two minute scan with less than 5 min for inline reconstruction. While net flow agreement was excellent, CS with R = 7.7 produced underestimation of Q

Identifiants

pubmed: 30803006
doi: 10.1002/mrm.27684
pmc: PMC6535305
mid: NIHMS1023988
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3675-3690

Subventions

Organisme : NHLBI NIH HHS
ID : K25 HL119608
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL115828
Pays : United States
Organisme : NHLBI NIH HHS
ID : F30 HL137279
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL133504
Pays : United States
Organisme : NINDS NIH HHS
ID : R21 NS106696
Pays : United States

Informations de copyright

© 2019 International Society for Magnetic Resonance in Medicine.

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Auteurs

Liliana E Ma (LE)

Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Department of Biomedical Engineering, Northwestern University, Chicago, Illinois.

Michael Markl (M)

Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Department of Biomedical Engineering, Northwestern University, Chicago, Illinois.

Kelvin Chow (K)

Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc, Chicago, Illinois.

Hyungkyu Huh (H)

Daegu-Gyeongbuk Medical Innovation Foundation, Medical Device Development Center, Daegu, South Korea.

Christoph Forman (C)

Siemens Healthcare, Erlangen, Germany.

Alireza Vali (A)

Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.

Andreas Greiser (A)

Siemens Healthcare, Erlangen, Germany.

James Carr (J)

Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.

Susanne Schnell (S)

Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.

Alex J Barker (AJ)

Department of Radiology, Children's Hospital Colorado, University of Colorado, Anschutz Medical Campus, Denver, Colorado.
Department of Bioengineering, University of Colorado, Anschutz Medical Campus, Denver, Colorado.

Ning Jin (N)

Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc, Cleveland, Ohio.

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