- Title
- Fast magnetic resonance spectroscopic imaging techniques in human brain-applications in multiple sclerosis
- Creator
- Al-iedani, Oun; Lechner-Scott, Jeannette; Ribbons, Karen; Ramadan, Saadallah
- Relation
- Journal of Biomedical Science Vol. 24, Issue 17
- Publisher Link
- http://dx.doi.org/10.1186/s12929-017-0323-2
- Publisher
- BioMed Central
- Resource Type
- journal article
- Date
- 2017
- Description
- 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 (1H-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.
- Subject
- fast MRSI; spiral; EPSI; human; in vivo; multiple sclerosis
- Identifier
- http://hdl.handle.net/1959.13/1350898
- Identifier
- uon:30630
- Identifier
- ISSN:1021-7770
- Rights
- © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Language
- eng
- Full Text
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