Literature DB >> 12353257

Magnetic resonance histology for morphologic phenotyping.

G Allan Johnson1, Gary P Cofer, Boma Fubara, Sally L Gewalt, Laurence W Hedlund, Robert R Maronpot.   

Abstract

Magnetic resonance histology (MRH) images of the whole mouse have been acquired at 100-micron isotropic resolution at 2.0 T with image arrays of 256 x 256 x 1024. Higher resolution (50 x 50 x 50 microns) of limited volumes has been acquired at 7.1T with image arrays of 512 x 512 x 512. Even higher resolution images (20 x 20 x 20 microns) of isolated organs have been acquired at 9.4 T. The volume resolution represents an increase of 625000 x over conventional clinical MRI. The technological basis is summarized that will allow basic scientists to begin using MRH as a routine method for morphologcic phenotyping of the mouse. MRH promises four unique attributes over conventional histology: 1). MRH is non-destructive; 2). MRH exploits the unique contrast mechanisms that have made MRI so successful clinically; 3). MRH is 3-dimensional; and 4). the data are inherently digital. We demonstrate the utility in morphologic phenotyping a whole C57BL/6J mouse. Copyright 2002 Wiley-Liss, Inc.

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Mesh:

Year:  2002        PMID: 12353257     DOI: 10.1002/jmri.10175

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  39 in total

1.  Increased anatomical detail by in vitro MR microscopy with a modified Golgi impregnation method.

Authors:  Xiaowei Zhang; Elaine L Bearer; Adriana T Perles-Barbacaru; Russell E Jacobs
Journal:  Magn Reson Med       Date:  2010-05       Impact factor: 4.668

2.  Detection of entorhinal layer II using 7Tesla [corrected] magnetic resonance imaging.

Authors:  Jean C Augustinack; Andre J W van der Kouwe; Megan L Blackwell; David H Salat; Christopher J Wiggins; Matthew P Frosch; Graham C Wiggins; Andreas Potthast; Lawrence L Wald; Bruce R Fischl
Journal:  Ann Neurol       Date:  2005-04       Impact factor: 10.422

Review 3.  Morphology of the small-animal lung using magnetic resonance microscopy.

Authors:  Laurence W Hedlund; G Allan Johnson
Journal:  Proc Am Thorac Soc       Date:  2005

4.  Design of a superconducting volume coil for magnetic resonance microscopy of the mouse brain.

Authors:  John C Nouls; Michael G Izenson; Harold P Greeley; G Allan Johnson
Journal:  J Magn Reson       Date:  2008-01-05       Impact factor: 2.229

Review 5.  Small animal imaging with magnetic resonance microscopy.

Authors:  Bastiaan Driehuys; John Nouls; Alexandra Badea; Elizabeth Bucholz; Ketan Ghaghada; Alexandra Petiet; Laurence W Hedlund
Journal:  ILAR J       Date:  2008

6.  Diffusion tensor imaging reveals white matter injury in a rat model of repetitive blast-induced traumatic brain injury.

Authors:  Evan Calabrese; Fu Du; Robert H Garman; G Allan Johnson; Cory Riccio; Lawrence C Tong; Joseph B Long
Journal:  J Neurotrauma       Date:  2014-03-27       Impact factor: 5.269

7.  The Engrailed homeobox genes determine the different foliation patterns in the vermis and hemispheres of the mammalian cerebellum.

Authors:  Yulan Cheng; Anamaria Sudarov; Kamila U Szulc; Sema K Sgaier; Daniel Stephen; Daniel H Turnbull; Alexandra L Joyner
Journal:  Development       Date:  2010-02       Impact factor: 6.868

8.  A diffusion tensor MRI atlas of the postmortem rhesus macaque brain.

Authors:  Evan Calabrese; Alexandra Badea; Christopher L Coe; Gabriele R Lubach; Yundi Shi; Martin A Styner; G Allan Johnson
Journal:  Neuroimage       Date:  2015-05-31       Impact factor: 6.556

9.  High-throughput morphologic phenotyping of the mouse brain with magnetic resonance histology.

Authors:  G Allan Johnson; Anjum Ali-Sharief; Alexandra Badea; Jeffrey Brandenburg; Gary Cofer; Boma Fubara; Sally Gewalt; Laurence W Hedlund; Lucy Upchurch
Journal:  Neuroimage       Date:  2007-05-18       Impact factor: 6.556

10.  An ontology-based segmentation scheme for tracking postnatal changes in the developing rodent brain with MRI.

Authors:  Evan Calabrese; G Allan Johnson; Charles Watson
Journal:  Neuroimage       Date:  2012-12-11       Impact factor: 6.556

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