Literature DB >> 22821404

A viable isolated tissue system: a tool for detailed MR measurements and controlled perturbation in physiologically stable tissue.

S Richardson1, B Siow, A M Batchelor, M F Lythgoe, D C Alexander.   

Abstract

In vivo magnetic resonance imaging (MRI) assessment of neuronal tissue is prone to artifacts such as movement, pulsatile flow, and tissue susceptibility. Furthermore, stable in vivo scans of over 3 h are difficult to achieve, experimental design is therefore limited. Using isolated tissue maintained in a viable physiological state can mitigate many of these in vivo issues. This work describes the fabrication and validation of an MRI compatible viable isolated tissue maintenance chamber. Parameters measured from maintained rat optic nerves did not change significantly over 10 h: (i) mean axon radius [electron microscopy--0 h: 0.75±0.46; 5 h: 0.74±0.35; 10 h: 0.76±0.35 μm (P>>0.05, t-test], (ii) action potentials [grease-gap electrophysiology--4.89±0.16 mv, (P>>0.05, Pearson test], and (iii) diffusion tensor imaging parameters [fractional anisotropy: 0.86±0.02 (P>>0.05, Pearson test), mean diffusivity: 1.48E-06±9.74E-08 cm2/s, (P>>0.05, Pearson test)]. In addition, a thorough diffusion-weighted MR protocol demonstrated the comparable stability of viable isolated and chemically fixed rat optic nerve. This MRI compatible viable isolated tissue system allows researchers to probe neuronal physiology in a controlled environment by limiting in vivo artifacts and allowing extended MRI acquisitions.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22821404     DOI: 10.1002/mrm.24410

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


  6 in total

Review 1.  Physical and numerical phantoms for the validation of brain microstructural MRI: A cookbook.

Authors:  Els Fieremans; Hong-Hsi Lee
Journal:  Neuroimage       Date:  2018-06-18       Impact factor: 6.556

Review 2.  Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome.

Authors:  Susie Y Huang; Thomas Witzel; Boris Keil; Alina Scholz; Mathias Davids; Peter Dietz; Elmar Rummert; Rebecca Ramb; John E Kirsch; Anastasia Yendiki; Qiuyun Fan; Qiyuan Tian; Gabriel Ramos-Llordén; Hong-Hsi Lee; Aapo Nummenmaa; Berkin Bilgic; Kawin Setsompop; Fuyixue Wang; Alexandru V Avram; Michal Komlosh; Dan Benjamini; Kulam Najmudeen Magdoom; Sudhir Pathak; Walter Schneider; Dmitry S Novikov; Els Fieremans; Slimane Tounekti; Choukri Mekkaoui; Jean Augustinack; Daniel Berger; Alexander Shapson-Coe; Jeff Lichtman; Peter J Basser; Lawrence L Wald; Bruce R Rosen
Journal:  Neuroimage       Date:  2021-08-28       Impact factor: 7.400

3.  Apparent diffusion coefficient is highly reproducible on preclinical imaging systems: Evidence from a seven-center multivendor study.

Authors:  Sabrina Doblas; Gilberto S Almeida; François-Xavier Blé; Philippe Garteiser; Benjamin A Hoff; Dominick J O McIntyre; Lydia Wachsmuth; Thomas L Chenevert; Cornelius Faber; John R Griffiths; Andreas H Jacobs; David M Morris; James P B O'Connor; Simon P Robinson; Bernard E Van Beers; John C Waterton
Journal:  J Magn Reson Imaging       Date:  2015-05-26       Impact factor: 4.813

4.  Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study.

Authors:  Colleen Bailey; Bernard Siow; Eleftheria Panagiotaki; John H Hipwell; Thomy Mertzanidou; Julie Owen; Patrycja Gazinska; Sarah E Pinder; Daniel C Alexander; David J Hawkes
Journal:  NMR Biomed       Date:  2016-12-21       Impact factor: 4.044

5.  Quantitative Ex Vivo MRI Changes due to Progressive Formalin Fixation in Whole Human Brain Specimens: Longitudinal Characterization of Diffusion, Relaxometry, and Myelin Water Fraction Measurements at 3T.

Authors:  Anwar S Shatil; Md Nasir Uddin; Kant M Matsuda; Chase R Figley
Journal:  Front Med (Lausanne)       Date:  2018-02-20

Review 6.  The sensitivity of diffusion MRI to microstructural properties and experimental factors.

Authors:  Maryam Afzali; Tomasz Pieciak; Sharlene Newman; Eleftherios Garyfallidis; Evren Özarslan; Hu Cheng; Derek K Jones
Journal:  J Neurosci Methods       Date:  2020-10-02       Impact factor: 2.390

  6 in total

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