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SpinDoctor: A MATLAB toolbox for diffusion MRI simulation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00509266" target="_blank" >RIV/67985556:_____/19:00509266 - isvavai.cz</a>

  • Alternative codes found

    RIV/60076658:12310/19:43899347

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S1053811919307116" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1053811919307116</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.neuroimage.2019.116120" target="_blank" >10.1016/j.neuroimage.2019.116120</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    SpinDoctor: A MATLAB toolbox for diffusion MRI simulation

  • Original language description

    This paper describes a publicly available MATLAB toolbox called SpinDoctor that can be used 1) to solve the Bloch-Torrey partial differential equation in order to simulate the diffusion magnetic resonance imaging signal. 2) to solve a diffusion partial differential equation to obtain directly the apparent diffusion coefficient. 3) to compare the simulated apparent diffusion coefficient with a short-time approximation formula. The partial differential equations are solved by P1 finite elements combined with built-in MATLAB routines for solving ordinary differential equations. The finite element mesh generation is performed using an external package called Tetgen.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10101 - Pure mathematics

Result continuities

  • Project

    <a href="/en/project/GA17-04301S" target="_blank" >GA17-04301S: Advanced mathematical methods for dissipative evolutionary systems</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Neuroimage

  • ISSN

    1053-8119

  • e-ISSN

  • Volume of the periodical

    202

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    23

  • Pages from-to

    116120

  • UT code for WoS article

    000491861000094

  • EID of the result in the Scopus database

    2-s2.0-85071780835