Literature DB >> 16215960

In vivo multiple-mouse MRI at 7 Tesla.

Nicholas A Bock1, Brian J Nieman, Johnathan B Bishop, R Mark Henkelman.   

Abstract

We developed a live high-field multiple-mouse magnetic resonance imaging method to increase the throughput of imaging studies involving large numbers of mice. Phantom experiments were performed in 7 shielded radiofrequency (RF) coils for concurrent imaging on a 7 Tesla MRI scanner outfitted with multiple transmit and receive channels to confirm uniform signal-to-noise ratio and minimal ghost artifacts across images from the different RF coils. Grid phantoms were used to measure image distortion in different positions in the coils. The brains of 7 live mice were imaged in 3D in the RF coil array, and a second array of 16 RF coils was used to 3D image the whole bodies of 16 fixed, contrast agent-perfused mice. The images of the 7 live mouse brains at 156 microm isotropic resolution and the 16 whole fixed mice at 100 microm isotropic resolution were of high quality and free of artifacts. We have thus shown that multiple-mouse MRI increases throughput for live and fixed mouse experiments by a factor equaling the number of RF coils in the scanner. (c) 2005 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2005        PMID: 16215960     DOI: 10.1002/mrm.20683

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


  36 in total

1.  Small-animal MRI: signal-to-noise ratio comparison at 7 and 1.5 T with multiple-animal acquisition strategies.

Authors:  Olivier Beuf; Franck Jaillon; Hervé Saint-Jalmes
Journal:  MAGMA       Date:  2006-09-07       Impact factor: 2.310

2.  Kctd13 deletion reduces synaptic transmission via increased RhoA.

Authors:  Christine Ochoa Escamilla; Irina Filonova; Angela K Walker; Zhong X Xuan; Roopashri Holehonnur; Felipe Espinosa; Shunan Liu; Summer B Thyme; Isabel A López-García; Dorian B Mendoza; Noriyoshi Usui; Jacob Ellegood; Amelia J Eisch; Genevieve Konopka; Jason P Lerch; Alexander F Schier; Haley E Speed; Craig M Powell
Journal:  Nature       Date:  2017-11-01       Impact factor: 49.962

3.  High-throughput in vivo screening of targeted molecular imaging agents.

Authors:  M Karen J Gagnon; Sven H Hausner; Jan Marik; Craig K Abbey; John F Marshall; Julie L Sutcliffe
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-07       Impact factor: 11.205

4.  In vivo magnetic resonance imaging and semiautomated image analysis extend the brain phenotype for cdf/cdf mice.

Authors:  Nicholas A Bock; Natasa Kovacevic; Tatiana V Lipina; John C Roder; Susan L Ackerman; R Mark Henkelman
Journal:  J Neurosci       Date:  2006-04-26       Impact factor: 6.167

5.  Altered cerebellar connectivity in autism and cerebellar-mediated rescue of autism-related behaviors in mice.

Authors:  Catherine J Stoodley; Anila M D'Mello; Jacob Ellegood; Vikram Jakkamsetti; Pei Liu; Mary Beth Nebel; Jennifer M Gibson; Elyza Kelly; Fantao Meng; Christopher A Cano; Juan M Pascual; Stewart H Mostofsky; Jason P Lerch; Peter T Tsai
Journal:  Nat Neurosci       Date:  2017-10-30       Impact factor: 24.884

6.  Multiple-mouse MRI with multiple arrays of receive coils.

Authors:  Marc S Ramirez; Emilio Esparza-Coss; James A Bankson
Journal:  Magn Reson Med       Date:  2010-03       Impact factor: 4.668

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

Authors:  Marc S Ramirez; Stephen Y Lai; James A Bankson
Journal:  NMR Biomed       Date:  2012-08-10       Impact factor: 4.044

Review 8.  MRI in mouse developmental biology.

Authors:  Daniel H Turnbull; Susumu Mori
Journal:  NMR Biomed       Date:  2007-05       Impact factor: 4.044

9.  Two-point Dixon technique provides robust fat suppression for multi-mouse imaging.

Authors:  Dustin K Ragan; James A Bankson
Journal:  J Magn Reson Imaging       Date:  2010-02       Impact factor: 4.813

10.  Wireless self-gated multiple-mouse cardiac cine MRI.

Authors:  Emilio Esparza-Coss; Marc S Ramirez; James A Bankson
Journal:  Magn Reson Med       Date:  2008-05       Impact factor: 4.668

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