Number of the records: 1  

Visualization of Plant Fibres via Di®usion Tensor Imaging

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    SYSNO ASEP0367529
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleVisualization of Plant Fibres via Di®usion Tensor Imaging
    Author(s) Gescheidtová, E. (CZ)
    Marcon, P. (CZ)
    Bartušek, Karel (UPT-D) RID, ORCID, SAI
    Number of authors3
    Source TitlePIERS 2011 Suzhou Proceedings. - Cambridge : The Electromagnetics Academy, 2011 - ISBN 978-1-934142-18-9
    Pagess. 1013-1016
    Number of pages4 s.
    ActionPIERS 2011 Suzhou
    Event date12.09.2011-16.09.2011
    VEvent locationSuzhou
    CountryCN - China
    Event typeWRD
    Languageeng - English
    CountryUS - United States
    Keywordsplant fibres ; diffusion tensor imaging ; MRI
    Subject RIVJA - Electronics ; Optoelectronics, Electrical Engineering
    R&D ProjectsGAP102/11/0318 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z20650511 - UPT-D (2005-2011)
    AnnotationThe paper deals with MR imaging of plant fibres via Di®usion weighted imaging (DWI) and Diffusion tensor imaging (DTI). Imaging plant fibres helps to better understand the process of nourishing the plants, and also to come to know the internal structure of plants without damaging them. To measure diffusion in the plant specimen, the well-known NMR method was used, currently referred to as the Pulsed field gradient spin-echo (PFGSE). Experimental measurement was conducted on an MR tomograph system with the gradient field B0 = 4,7T. Onion and dill were used as specimens to be measured. The values obtained by the PFGSE method were used to calculate diffusion weighted images (DWI). The measurement of diffusion weighted images was performed in 6 directions of the gradients (x, y, z, xy, xz, yz) and the data obtained served to calculate the DTI image of the specimen being measured.
    WorkplaceInstitute of Scientific Instruments
    ContactMartina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178
    Year of Publishing2012
Number of the records: 1  

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