Work

Extended 3D approach for quantification of abnormal ascending aortic flow

Year: 2015

Type: article

Study design: Observational Study

Source: Magnetic Resonance Imaging

DOI: 10.1016/j.mri.2015.02.020

Authors: Monica Sigovan, Petter Dyverfeldt, Jarrett Wrenn, Elaine E. Tseng, David Saloner, Michael D. Hope

Institutions: Lyon 1 Université, Centre National de la Recherche Scientifique, Inserm, University of California, San Francisco, Université de Lyon, Hospices Civils de Lyon, University of California San Francisco Medical Center, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé, Institut National des Sciences Appliquées de Lyon, Linköping University

Language: English

Topic: Aortic Disease and Treatment Approaches

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: U.S. Department of Veterans Affairs, Vetenskapsrådet, National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Neurological Disorders and Stroke

Awards: G1544185272, G2321568254, G3122813769, G3198408055, G7586255977, Neuromuscular disorders, G9000237303

OpenAlex ID: W2055996414

FWCI: 2.141

Cites: 21

Cited by: 20

Related to: 10