Document Detail


Clinical applications of 7T MRI in the brain.
MedLine Citation:
PMID:  21937178     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
This review illustrates current applications and possible future directions of 7Tesla (7T) Magnetic Resonance Imaging (MRI) in the field of brain MRI, in clinical studies as well as clinical practice. With its higher signal-to-noise (SNR) and contrast-to-noise ratio (CNR) compared to lower field strengths, high resolution, contrast-rich images can be obtained of diverse pathologies, like multiple sclerosis (MS), brain tumours, aging-related changes and cerebrovascular diseases. In some of these diseases, additional pathophysiological information can be gained compared to lower field strengths. Because of clear depiction of small anatomical details, and higher lesion conspicuousness, earlier diagnosis and start of treatment of brain diseases may become possible. Furthermore, additional insight into the pathogenesis of brain diseases obtained with 7T MRI could be the basis for new treatment developments. However, imaging at high field comes with several limitations, like inhomogeneous transmit fields, a higher specific absorption rate (SAR) and, currently, extensive contraindications for patient scanning. Future studies will be aimed at assessing the advantages and disadvantages of 7T MRI over lower field strengths in light of clinical applications, specifically the additional diagnostic and prognostic value of 7T MRI.
Authors:
Anja G van der Kolk; Jeroen Hendrikse; Jaco J M Zwanenburg; Fredy Visser; Peter R Luijten
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-9-19
Journal Detail:
Title:  European journal of radiology     Volume:  -     ISSN:  1872-7727     ISO Abbreviation:  -     Publication Date:  2011 Sep 
Date Detail:
Created Date:  2011-9-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8106411     Medline TA:  Eur J Radiol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.
Affiliation:
Department of Radiology, University Medical Center Utrecht, Postbox 85500, 3508 GA Utrecht, The Netherlands.
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