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FMRI using balanced steady-state free precession (SSFP).

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.neuroimage.2011.10.040 Byline: Karla L. Miller Keywords: SSFP; FISP; Steady-state; FMRI; Functional; Brain Abstract: Steady-state free precession (SSFP) is a highly-efficient MRI pulse sequence that has been a... Full description

Journal Title: NeuroImage Vol.62(2), pp.713-719
Main Author: Miller, Karla L
Format: Electronic Article Electronic Article
Language: English
Subjects:
Created: August 15, 2012
ID: E-ISSN: 1095-9572 ; DOI: 1095-9572 ; DOI: 10.1016/j.neuroimage.2011.10.040
Link: http://search.proquest.com/docview/1023295117/?pq-origsite=primo
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title: FMRI using balanced steady-state free precession (SSFP).
format: Article
creator:
  • Miller, Karla L
subjects:
  • Brain–Physiology
  • Brain Mapping–Methods
  • Humans–Methods
  • Magnetic Resonance Imaging–Methods
ispartof: NeuroImage, Vol.62(2), pp.713-719
description: To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.neuroimage.2011.10.040 Byline: Karla L. Miller Keywords: SSFP; FISP; Steady-state; FMRI; Functional; Brain Abstract: Steady-state free precession (SSFP) is a highly-efficient MRI pulse sequence that has been a fairly recent arrival in the functional MRI realm. Several methods for using balanced SSFP to detect the BOLD signal have been proposed to date and will be discussed in this review. After a brief introduction to the general properties of SSFP, this review describes the quite different approaches of transition-band and pass-band SSFP in terms of functional contrast mechanism. It then discusses the potential advantages of these techniques, followed by their challenges and shortcomings. Finally, it gives an overview of some applications considered to date and the author's perspective on where these techniques are headed. In the spirit of this special issue, the author also includes some of the personal history underlying her own explorations in this area. Article History: Accepted 12 October 2011
language: eng
source:
identifier: E-ISSN: 1095-9572 ; DOI: 1095-9572 ; DOI: 10.1016/j.neuroimage.2011.10.040
fulltext: fulltext
issn:
  • 10959572
  • 1095-9572
url: Link


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