Literature DB >> 22887122

A throughput-optimized array system for multiple-mouse MRI.

Marc S Ramirez1, Stephen Y Lai, James A Bankson.   

Abstract

MRI is a versatile tool for the systematic assessment of anatomical and functional changes in small-animal models of human disease. Its noninvasive nature makes it an ideal candidate for longitudinal evaluations of disease progression, but relatively long scan times limit the number of observations that can be made in a given interval of time, imposing restrictions on experimental design and potentially compromising statistical power. Methods that reduce the overall time required to scan multiple cohorts of animals in distinct experimental groups are therefore highly desirable. Multiple-mouse MRI, in which several animals are simultaneously scanned in a common MRI system, has been successfully used to improve study throughput. However, to best utilize the next generation of small-animal MRI systems that will be equipped with an increased number of receive channels, a paradigm shift from the simultaneous scanning of as many animals as possible to the scanning of a more manageable number, at a faster rate, must be considered. This work explores the tradeoffs between the number of animals to scan at once and the number of array elements dedicated to each animal, to maximize throughput in systems with 16 receive channels. An array system consisting of 15 receive and five transmit coils allows acceleration by a combination of multi-animal and parallel imaging techniques. The array system was designed and fabricated for use on a 7.0-T/30-cm Bruker Biospec MRI system, and tested for high-throughput imaging performance in phantoms and live mice. Results indicate that up to a nine-fold throughput improvement of a single sequence is possible compared with an unaccelerated single-animal acquisition. True data throughput of a contrast-enhanced anatomical study is estimated to be improved by just over six-fold.
Copyright © 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 22887122      PMCID: PMC3543508          DOI: 10.1002/nbm.2841

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  19 in total

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Journal:  Magn Reson Med       Date:  2002-06       Impact factor: 4.668

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Journal:  IEEE Trans Med Imaging       Date:  2011-09-26       Impact factor: 10.048

5.  Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays.

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Review 6.  Theory and application of array coils in MR spectroscopy.

Authors:  S M Wright; L L Wald
Journal:  NMR Biomed       Date:  1997-12       Impact factor: 4.044

7.  In vivo multiple-mouse imaging at 1.5 T.

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Journal:  Magn Reson Med       Date:  2003-03       Impact factor: 4.668

8.  Description of a human papillary thyroid carcinoma cell line. Morphologic study and expression of tumoral markers.

Authors:  N Fabien; A Fusco; M Santoro; Y Barbier; P M Dubois; C Paulin
Journal:  Cancer       Date:  1994-04-15       Impact factor: 6.860

9.  High-resolution longitudinal screening with magnetic resonance imaging in a murine brain cancer model.

Authors:  Nicholas A Bock; Gelareh Zadeh; Lori M Davidson; Baoping Qian; John G Sled; Abhijit Guha; R Mark Henkelman
Journal:  Neoplasia       Date:  2003 Nov-Dec       Impact factor: 5.715

10.  Multiple-mouse MRI.

Authors:  Nicholas A Bock; Norman B Konyer; R Mark Henkelman
Journal:  Magn Reson Med       Date:  2003-01       Impact factor: 4.668

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  2 in total

1.  High-throughput hyperpolarized (13)C metabolic investigations using a multi-channel acquisition system.

Authors:  Jaehyuk Lee; Marc S Ramirez; Christopher M Walker; Yunyun Chen; Stacey Yi; Vlad C Sandulache; Stephen Y Lai; James A Bankson
Journal:  J Magn Reson       Date:  2015-09-05       Impact factor: 2.229

2.  Feasibility of multianimal hyperpolarized (13) C MRS.

Authors:  Marc S Ramirez; Jaehyuk Lee; Christopher M Walker; Yunyun Chen; Charles V Kingsley; Jorge De La Cerda; Kiersten L Maldonado; Stephen Y Lai; James A Bankson
Journal:  Magn Reson Med       Date:  2014-06-05       Impact factor: 4.668

  2 in total

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