4D Flow with MRI.


Journal

Annual review of biomedical engineering
ISSN: 1545-4274
Titre abrégé: Annu Rev Biomed Eng
Pays: United States
ID NLM: 100883581

Informations de publication

Date de publication:
04 06 2020
Historique:
pubmed: 11 3 2020
medline: 3 11 2021
entrez: 11 3 2020
Statut: ppublish

Résumé

Magnetic resonance imaging (MRI) has become an important tool for the clinical evaluation of patients with cardiac and vascular diseases. Since its introduction in the late 1980s, quantitative flow imaging with MRI has become a routine part of standard-of-care cardiothoracic and vascular MRI for the assessment of pathological changes in blood flow in patients with cardiovascular disease. More recently, time-resolved flow imaging with velocity encoding along all three flow directions and three-dimensional (3D) anatomic coverage (4D flow MRI) has been developed and applied to enable comprehensive 3D visualization and quantification of hemodynamics throughout the human circulatory system. This article provides an overview of the use of 4D flow applications in different cardiac and vascular regions in the human circulatory system, with a focus on using 4D flow MRI in cardiothoracic and cerebrovascular diseases.

Identifiants

pubmed: 32155346
doi: 10.1146/annurev-bioeng-100219-110055
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

103-126

Auteurs

Gilles Soulat (G)

Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA; email: gilles.soulat@northwestern.edu.

Patrick McCarthy (P)

Division of Cardiac Surgery, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA; email: Patrick.McCarthy@nm.org.

Michael Markl (M)

Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA; email: gilles.soulat@northwestern.edu.
Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, Illinois 60208, USA; email: mmarkl@northwestern.edu.

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Classifications MeSH