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Key clinical benefits of neuroimaging at 7 T

The growing interest in ultra-high field MRI, with more than 35.000 MR examinations already performed at 7 T, is related to improved clinical results with regard to morphological as well as functional and metabolic capabilities. Since the signal-to-noise ratio increases with the field strength of th...

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Autores principales: Trattnig, Siegfried, Springer, Elisabeth, Bogner, Wolfgang, Hangel, Gilbert, Strasser, Bernhard, Dymerska, Barbara, Cardoso, Pedro Lima, Robinson, Simon Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832016/
https://www.ncbi.nlm.nih.gov/pubmed/27851995
http://dx.doi.org/10.1016/j.neuroimage.2016.11.031
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author Trattnig, Siegfried
Springer, Elisabeth
Bogner, Wolfgang
Hangel, Gilbert
Strasser, Bernhard
Dymerska, Barbara
Cardoso, Pedro Lima
Robinson, Simon Daniel
author_facet Trattnig, Siegfried
Springer, Elisabeth
Bogner, Wolfgang
Hangel, Gilbert
Strasser, Bernhard
Dymerska, Barbara
Cardoso, Pedro Lima
Robinson, Simon Daniel
author_sort Trattnig, Siegfried
collection PubMed
description The growing interest in ultra-high field MRI, with more than 35.000 MR examinations already performed at 7 T, is related to improved clinical results with regard to morphological as well as functional and metabolic capabilities. Since the signal-to-noise ratio increases with the field strength of the MR scanner, the most evident application at 7 T is to gain higher spatial resolution in the brain compared to 3 T. Of specific clinical interest for neuro applications is the cerebral cortex at 7 T, for the detection of changes in cortical structure, like the visualization of cortical microinfarcts and cortical plaques in Multiple Sclerosis. In imaging of the hippocampus, even subfields of the internal hippocampal anatomy and pathology may be visualized with excellent spatial resolution. Using Susceptibility Weighted Imaging, the plaque-vessel relationship and iron accumulations in Multiple Sclerosis can be visualized, which may provide a prognostic factor of disease. Vascular imaging is a highly promising field for 7 T which is dealt with in a separate dedicated article in this special issue. The static and dynamic blood oxygenation level-dependent contrast also increases with the field strength, which significantly improves the accuracy of pre-surgical evaluation of vital brain areas before tumor removal. Improvement in acquisition and hardware technology have also resulted in an increasing number of MR spectroscopic imaging studies in patients at 7 T. More recent parallel imaging and short-TR acquisition approaches have overcome the limitations of scan time and spatial resolution, thereby allowing imaging matrix sizes of up to 128×128. The benefits of these acquisition approaches for investigation of brain tumors and Multiple Sclerosis have been shown recently. Together, these possibilities demonstrate the feasibility and advantages of conducting routine diagnostic imaging and clinical research at 7 T.
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spelling pubmed-58320162018-03-23 Key clinical benefits of neuroimaging at 7 T Trattnig, Siegfried Springer, Elisabeth Bogner, Wolfgang Hangel, Gilbert Strasser, Bernhard Dymerska, Barbara Cardoso, Pedro Lima Robinson, Simon Daniel Neuroimage Article The growing interest in ultra-high field MRI, with more than 35.000 MR examinations already performed at 7 T, is related to improved clinical results with regard to morphological as well as functional and metabolic capabilities. Since the signal-to-noise ratio increases with the field strength of the MR scanner, the most evident application at 7 T is to gain higher spatial resolution in the brain compared to 3 T. Of specific clinical interest for neuro applications is the cerebral cortex at 7 T, for the detection of changes in cortical structure, like the visualization of cortical microinfarcts and cortical plaques in Multiple Sclerosis. In imaging of the hippocampus, even subfields of the internal hippocampal anatomy and pathology may be visualized with excellent spatial resolution. Using Susceptibility Weighted Imaging, the plaque-vessel relationship and iron accumulations in Multiple Sclerosis can be visualized, which may provide a prognostic factor of disease. Vascular imaging is a highly promising field for 7 T which is dealt with in a separate dedicated article in this special issue. The static and dynamic blood oxygenation level-dependent contrast also increases with the field strength, which significantly improves the accuracy of pre-surgical evaluation of vital brain areas before tumor removal. Improvement in acquisition and hardware technology have also resulted in an increasing number of MR spectroscopic imaging studies in patients at 7 T. More recent parallel imaging and short-TR acquisition approaches have overcome the limitations of scan time and spatial resolution, thereby allowing imaging matrix sizes of up to 128×128. The benefits of these acquisition approaches for investigation of brain tumors and Multiple Sclerosis have been shown recently. Together, these possibilities demonstrate the feasibility and advantages of conducting routine diagnostic imaging and clinical research at 7 T. 2016-11-13 2018-03 /pmc/articles/PMC5832016/ /pubmed/27851995 http://dx.doi.org/10.1016/j.neuroimage.2016.11.031 Text en http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Trattnig, Siegfried
Springer, Elisabeth
Bogner, Wolfgang
Hangel, Gilbert
Strasser, Bernhard
Dymerska, Barbara
Cardoso, Pedro Lima
Robinson, Simon Daniel
Key clinical benefits of neuroimaging at 7 T
title Key clinical benefits of neuroimaging at 7 T
title_full Key clinical benefits of neuroimaging at 7 T
title_fullStr Key clinical benefits of neuroimaging at 7 T
title_full_unstemmed Key clinical benefits of neuroimaging at 7 T
title_short Key clinical benefits of neuroimaging at 7 T
title_sort key clinical benefits of neuroimaging at 7 t
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832016/
https://www.ncbi.nlm.nih.gov/pubmed/27851995
http://dx.doi.org/10.1016/j.neuroimage.2016.11.031
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