Literature DB >> 16032696

64-channel array coil for single echo acquisition magnetic resonance imaging.

Mary Preston McDougall1, Steven M Wright.   

Abstract

A 64-channel array coil for magnetic resonance imaging (MRI) has been designed and constructed. The coil was built to enable the testing of a new imaging method, single echo acquisition (SEA) MRI, in which an independent full image is acquired with every echo. This is accomplished by entirely eliminating phase encoding and instead using the spatial information obtained from an array of very narrow, long, parallel coils. The planar pair element design proved to be key in achieving well-localized field sensitivity patterns and isolated elements, the crucial requirements for performing SEA. The matching and tuning of the array elements were accomplished on the coil array printed circuit board using varactor diodes biased over the RF lines. The array was successfully used to obtain SEA images as well as conventional partially parallel images at unprecedented acceleration factors. 2005 Wiley-Liss, Inc

Mesh:

Year:  2005        PMID: 16032696     DOI: 10.1002/mrm.20568

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


  34 in total

1.  An Improved Element Design for 64-Channel Planar Imaging.

Authors:  Chieh-Wei Chang; Katherine Lynn Moody; Mary Preston McDougall
Journal:  Concepts Magn Reson Part B Magn Reson Eng       Date:  2011-08       Impact factor: 1.176

2.  Coil compression for accelerated imaging with Cartesian sampling.

Authors:  Tao Zhang; John M Pauly; Shreyas S Vasanawala; Michael Lustig
Journal:  Magn Reson Med       Date:  2012-04-09       Impact factor: 4.668

3.  Potential impact of a 32-channel receiving head coil technology on the results of a functional MRI paradigm.

Authors:  J Albrecht; M Burke; K Haegler; V Schöpf; A M Kleemann; M Paolini; M Wiesmann; J Linn
Journal:  Clin Neuroradiol       Date:  2010-09-21       Impact factor: 3.649

4.  Medusa: a scalable MR console using USB.

Authors:  Pascal P Stang; Steven M Conolly; Juan M Santos; John M Pauly; Greig C Scott
Journal:  IEEE Trans Med Imaging       Date:  2011-09-26       Impact factor: 10.048

5.  Physiological noise reduction using volumetric functional magnetic resonance inverse imaging.

Authors:  Fa-Hsuan Lin; Aapo Nummenmaa; Thomas Witzel; Jonathan R Polimeni; Thomas A Zeffiro; Fu-Nien Wang; John W Belliveau
Journal:  Hum Brain Mapp       Date:  2011-09-23       Impact factor: 5.038

Review 6.  Ultrafast inverse imaging techniques for fMRI.

Authors:  Fa-Hsuan Lin; Kevin W K Tsai; Ying-Hua Chu; Thomas Witzel; Aapo Nummenmaa; Tommi Raij; Jyrki Ahveninen; Wen-Jui Kuo; John W Belliveau
Journal:  Neuroimage       Date:  2012-01-21       Impact factor: 6.556

7.  Parallel MRI at microtesla fields.

Authors:  Vadim S Zotev; Petr L Volegov; Andrei N Matlashov; Michelle A Espy; John C Mosher; Robert H Kraus
Journal:  J Magn Reson       Date:  2008-03-06       Impact factor: 2.229

8.  Event-related single-shot volumetric functional magnetic resonance inverse imaging of visual processing.

Authors:  Fa-Hsuan Lin; Thomas Witzel; Joseph B Mandeville; Jonathan R Polimeni; Thomas A Zeffiro; Douglas N Greve; Graham Wiggins; Lawrence L Wald; John W Belliveau
Journal:  Neuroimage       Date:  2008-04-23       Impact factor: 6.556

9.  Design of an MR image processing module on an FPGA chip.

Authors:  Limin Li; Alice M Wyrwicz
Journal:  J Magn Reson       Date:  2015-03-23       Impact factor: 2.229

Review 10.  Massively parallel MRI detector arrays.

Authors:  Boris Keil; Lawrence L Wald
Journal:  J Magn Reson       Date:  2013-02-07       Impact factor: 2.229

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