Mapping cerebral perfusion from time-resolved contrast-enhanced MR angiographic data.


Journal

Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883

Informations de publication

Date de publication:
09 2019
Historique:
received: 31 01 2019
revised: 24 05 2019
accepted: 27 05 2019
pubmed: 1 6 2019
medline: 3 1 2020
entrez: 1 6 2019
Statut: ppublish

Résumé

A common method to acquire both perfusion and angiographic information is to have separate MRI scans for each information. In this study, we propose to achieve the goal by deriving perfusion parameters, specifically cerebral blood volume (CBV) and Tmax, from time-resolved contrast-enhanced magnetic resonance angiography (CE-MRA). Both CE-MRA and DSC-MRI were performed on seven subjects with a diagnosed ischemic stroke. Concentration functions from CE-MRA were modeled using a modified gamma-variate function to appreciate the full first-pass transition of the tracer bolus. Perfusion parameters were calculated using concentration function derived from each imaging method and were compared to each other both visually and quantitatively by means of correlation studies. CBV and Tmax maps generally showed good agreement between the two methods. This study proved the concept of using time-resolved CE-MRA as both vascular imaging and tissue perfusion mapping while using a single injection of contrast agent, potentially reducing cost and improving patient safety and comfort.

Identifiants

pubmed: 31150811
pii: S0730-725X(19)30072-4
doi: 10.1016/j.mri.2019.05.040
pii:
doi:

Substances chimiques

Contrast Media 0
Oxygen S88TT14065

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

143-148

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Muhammad Asaduddin (M)

Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.

Won-Joon Do (WJ)

Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.

Eung Yeop Kim (EY)

Department of Radiology, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea. Electronic address: neurorad@gachon.ac.kr.

Sung-Hong Park (SH)

Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea. Electronic address: sunghongpark@kaist.ac.kr.

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