Literature DB >> 29869134

Inferring diameters of spheres and cylinders using interstitial water.

Sheryl L Herrera1, Morgan E Mercredi2, Richard Buist3, Melanie Martin2,4.   

Abstract

OBJECT: Most early methods to infer axon diameter distributions using magnetic resonance imaging (MRI) used single diffusion encoding sequences such as pulsed gradient spin echo (SE) and are thus sensitive to axons of diameters > 5 μm. We previously simulated oscillating gradient (OG) SE sequences for diffusion spectroscopy to study smaller axons including the majority constituting cortical connections. That study suggested the model of constant extra-axonal diffusion breaks down at OG accessible frequencies. In this study we present data from phantoms to test a time-varying interstitial apparent diffusion coefficient.
MATERIALS AND METHODS: Diffusion spectra were measured in four samples from water packed around beads of diameters 3, 6 and 10 μm; and 151 μm diameter tubes. Surface-to-volume ratios, and diameters were inferred.
RESULTS: The bead pore radii estimates were 0.60±0.08 μm, 0.54±0.06 μm and 1.0±0.1 μm corresponding to bead diameters ranging from 2.9±0.4 μm to 5.3±0.7 μm, 2.6±0.3 μm to 4.8±0.6 μm, and 4.9±0.7 μm to 9±1 μm. The tube surface-to-volume ratio estimate was 0.06±0.02 μm-1 corresponding to a tube diameter of 180±70 μm.
CONCLUSION: Interstitial models with OG inferred 3-10 μm bead diameters from 0.54±0.06 μm to 1.0±0.1 μm pore radii and 151 μm tube diameters from 0.06±0.02 μm-1 surface-to-volume ratios.

Entities:  

Keywords:  axons; diffusion; imaging; magnetic resonance imaging; phantoms

Mesh:

Substances:

Year:  2018        PMID: 29869134     DOI: 10.1007/s10334-018-0685-9

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  45 in total

1.  Modified oscillating gradient pulses for direct sampling of the diffusion spectrum suitable for imaging sequences.

Authors:  Edward C Parsons; Mark D Does; John C Gore
Journal:  Magn Reson Imaging       Date:  2003 Apr-May       Impact factor: 2.546

2.  The importance of axonal undulation in diffusion MR measurements: a Monte Carlo simulation study.

Authors:  Markus Nilsson; Jimmy Lätt; Freddy Ståhlberg; Danielle van Westen; Håkan Hagslätt
Journal:  NMR Biomed       Date:  2011-10-21       Impact factor: 4.044

3.  Comments on the paper by Horowitz et al. (2014).

Authors:  G M Innocenti; R Caminiti; F Aboitiz
Journal:  Brain Struct Funct       Date:  2015-05       Impact factor: 3.270

4.  Assessment of white matter tract damage in patients with amyotrophic lateral sclerosis: a diffusion tensor MR imaging tractography study.

Authors:  F Agosta; E Pagani; M Petrolini; D Caputo; M Perini; A Prelle; F Salvi; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2010-04-15       Impact factor: 3.825

5.  An MRI study of the corpus callosum in autism.

Authors:  J Piven; J Bailey; B J Ranson; S Arndt
Journal:  Am J Psychiatry       Date:  1997-08       Impact factor: 18.112

6.  Surface-to-volume ratio mapping of tumor microstructure using oscillating gradient diffusion weighted imaging.

Authors:  Olivier Reynaud; Kerryanne Veronica Winters; Dung Minh Hoang; Youssef Zaim Wadghiri; Dmitry S Novikov; Sungheon Gene Kim
Journal:  Magn Reson Med       Date:  2015-07-24       Impact factor: 4.668

7.  Quantitative characterization of tissue microstructure with temporal diffusion spectroscopy.

Authors:  Junzhong Xu; Mark D Does; John C Gore
Journal:  J Magn Reson       Date:  2009-07-03       Impact factor: 2.229

8.  Exact analytical results for ADC with oscillating diffusion sensitizing gradients.

Authors:  A L Sukstanskii
Journal:  J Magn Reson       Date:  2013-06-29       Impact factor: 2.229

9.  Callosal size in children with learning disabilities.

Authors:  C Njiokiktjien; L de Sonneville; J Vaal
Journal:  Behav Brain Res       Date:  1994-10-20       Impact factor: 3.332

10.  Mapping mean axon diameter and axonal volume fraction by MRI using temporal diffusion spectroscopy.

Authors:  Junzhong Xu; Hua Li; Kevin D Harkins; Xiaoyu Jiang; Jingping Xie; Hakmook Kang; Mark D Does; John C Gore
Journal:  Neuroimage       Date:  2014-09-16       Impact factor: 6.556

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