Literature DB >> 3574056

An estimation and correction scheme for system imperfections in multiple-echo magnetic resonance imaging.

S Majumdar, A Gmitro, S C Orphanoudakis, D Reddy, J C Gore.   

Abstract

Multiecho sequences are widely used in MRI because they are an efficient means of acquiring data and they can be used to quantitatively estimate T2. However, the uniformity of each image and the accuracy of each T2 estimate may be corrupted by several instrumental factors such as rf pulse imperfections and static field inhomogeneities. We propose a scheme based on our prior knowledge of the effects of such factors and using the Levenberg-Marquardt method of nonlinear estimation that produces accurate estimates of T2 even in the presence of substantial system imperfections and improves the image quality of later echo images in a multiecho sequence. A further extension of this scheme permits mapping the distribution of the static magnetic field from a single multiecho imaging study of a uniform object. Simulations have been performed to test the efficacy of this scheme and the results are substantiated with experiments performed on a whole-body imager operating at 6.35 MHz.

Mesh:

Year:  1987        PMID: 3574056     DOI: 10.1002/mrm.1910040302

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  5 in total

Review 1.  Inferring brain tissue composition and microstructure via MR relaxometry.

Authors:  Mark D Does
Journal:  Neuroimage       Date:  2018-01-02       Impact factor: 6.556

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Authors:  Mustapha Bouhrara; David A Reiter; Hasan Celik; Kenneth W Fishbein; Richard Kijowski; Richard G Spencer
Journal:  Magn Reson Med       Date:  2015-07-03       Impact factor: 4.668

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4.  Quantitative analysis of repaired rabbit supraspinatus tendons (± channeling) using magnetic resonance imaging at 7 Tesla.

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5.  Mono-Exponential Fitting in T2-Relaxometry: Relevance of Offset and First Echo.

Authors:  David Milford; Nicolas Rosbach; Martin Bendszus; Sabine Heiland
Journal:  PLoS One       Date:  2015-12-17       Impact factor: 3.240

  5 in total

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