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Fast magnetic resonance spectroscopic imaging techniques in human brain- applications in multiple sclerosis

Overview of attention for article published in Journal of Biomedical Science, February 2017
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Title
Fast magnetic resonance spectroscopic imaging techniques in human brain- applications in multiple sclerosis
Published in
Journal of Biomedical Science, February 2017
DOI 10.1186/s12929-017-0323-2
Pubmed ID
Authors

Oun Al-iedani, Jeannette Lechner-Scott, Karen Ribbons, Saadallah Ramadan

Abstract

Multi voxel magnetic resonance spectroscopic imaging (MRSI) is an important imaging tool that combines imaging and spectroscopic techniques. MRSI of the human brain has been beneficially applied to different clinical applications in neurology, particularly in neurooncology but also in multiple sclerosis, stroke and epilepsy. However, a major challenge in conventional MRSI is the longer acquisition time required for adequate signal to be collected. Fast MRSI of the brain in vivo is an alternative approach to reduce scanning time and make MRSI more clinically suitable.Fast MRSI can be categorised into spiral, echo-planar, parallel and turbo imaging techniques, each with its own strengths. After a brief introduction on the basics of non-invasive examination ((1)H-MRS) and localization techniques principles, different fast MRSI techniques will be discussed from their initial development to the recent innovations with particular emphasis on their capacity to record neurochemical changes in the brain in a variety of pathologies.The clinical applications of whole brain fast spectroscopic techniques, can assist in the assessment of neurochemical changes in the human brain and help in understanding the roles they play in disease. To give a good example of the utilities of these techniques in clinical context, MRSI application in multiple sclerosis was chosen. The available up to date and relevant literature is discussed and an outline of future research is presented.

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The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 25%
Researcher 11 15%
Student > Master 8 11%
Other 5 7%
Student > Bachelor 4 6%
Other 6 8%
Unknown 20 28%
Readers by discipline Count As %
Medicine and Dentistry 15 21%
Neuroscience 10 14%
Engineering 5 7%
Chemistry 3 4%
Physics and Astronomy 3 4%
Other 10 14%
Unknown 26 36%