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Proceedings Paper

Parallel magnetic resonance imaging using compressed sensing
Author(s): Ali Bilgin; Yookyung Kim; Hariharan G. Lalgudi; Theodore P. Trouard; Maria I. Altbach
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Paper Abstract

Although magnetic resonance imaging (MRI) is routinely used in clinical practice, long acquisition times limit its practical utility in many applications. To increase the data acquisition speed of MRI, parallel MRI (pMRI) techniques have recently been proposed. These techniques utilize multi-channel receiver arrays and are based on simultaneous acquisition of data from multiple receiver coils. Recently, a novel framework called Compressed Sensing (CS) was introduced. Since this new framework illustrates how signals can be reconstructed from much fewer samples than suggested by the Nyquist theory, it has the potential to significantly accelerate data acquisition in MRI. This paper illustrates that CS and pMRI techniques can be combined and such joint processing yields results that are superior to those obtained from independent utilization of each technique.

Paper Details

Date Published: 15 September 2008
PDF: 10 pages
Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 70731G (15 September 2008); doi: 10.1117/12.797206
Show Author Affiliations
Ali Bilgin, The Univ. of Arizona (United States)
Yookyung Kim, The Univ. of Arizona (United States)
Hariharan G. Lalgudi, The Univ. of Arizona (United States)
Theodore P. Trouard, The Univ. of Arizona (United States)
Maria I. Altbach, The Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 7073:
Applications of Digital Image Processing XXXI
Andrew G. Tescher, Editor(s)

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