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MODELLING IN PERFUSION MR IMAGING

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU109738" target="_blank" >RIV/00216305:26220/14:PU109738 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    MODELLING IN PERFUSION MR IMAGING

  • Original language description

    This paper deals with quantitative perfusion analysis of dynamic contrast enhanced magnetic resonance data. The perfusion parameter estimation method is based on approximation of tissue concentration time sequences with convolution models. The method isevaluated on synthetic data and illustrated on clinical data of the renal cell carcinoma patient. The main contribution of the article is the inclusion of dispersion model to capture the signal changes on the way from artery to remote tissues.

  • Czech name

    MODELLING IN PERFUSION MR IMAGING

  • Czech description

    This paper deals with quantitative perfusion analysis of dynamic contrast enhanced magnetic resonance data. The perfusion parameter estimation method is based on approximation of tissue concentration time sequences with convolution models. The method isevaluated on synthetic data and illustrated on clinical data of the renal cell carcinoma patient. The main contribution of the article is the inclusion of dispersion model to capture the signal changes on the way from artery to remote tissues.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 20th Conference Student EEICT 2014

  • ISBN

    978-80-214-4923-7

  • ISSN

  • e-ISSN

  • Number of pages

    3

  • Pages from-to

    57-59

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Brno

  • Event date

    Apr 24, 2014

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article