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Error images for spectroscopic imaging by LCModel using Cramer-Rao bounds

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F06%3A00000657" target="_blank" >RIV/00023001:_____/06:00000657 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Error images for spectroscopic imaging by LCModel using Cramer-Rao bounds

  • Original language description

    The results of spectroscopic imaging (SI) measurements are often presented as metabolic images. If the spectra quality is not sufficient, the calculated concentrations are biased and the metabolic images show an incorrect metabolite distribution. To simplify the quality analysis of spectra measured by SI, an error image, reflecting the accuracy of the computed concentrations, can be displayed along with the metabolite image. In this paper the relevance of Cramer-Rao bounds (CRBs) calculated by the LCModel program to describe errors in estimated concentrations is validated using spectra simulations. The relation between the average CRBs and standard deviations (STD) of metabolite concentrations from 100 simulated spectra for various SNR and line broadening conditions is evaluated. A parameter for calculating error images for metabolite ratios is proposed and an effective way to display error images is shown. The results suggest that the average CRBs are strongly correlated with the stan

  • Czech name

    Chybové obrazy pro spectroskopické zobrazování pomocí LCModelu s Cramer-Rao bounds

  • Czech description

    Výsledky spektroskopického zobrazování (SI) jsou často prezentovány jako metabolické obrazy. Pokud kvalita spekter není dostatečná, vypočtené koncentrace jsou nesprávné a metabolické obrazy zobrazují nesprávné rozložení metabolitů. V tomto článku je testováno zda parametr Cramer-Rao bound (CRB) vypočtený programem LCMOdel je schopen popisovat chyby vypočtených koncnetrací. Srovnáním vypočtených CRBs se strandartními odchylkami koncentrací vypočtených ze souboru simulovaných spekter vyplývá, že CRBs lzepoužívat pro popsání chych koncentrací.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    FH - Neurology, neuro-surgery, nuero-sciences

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA309%2F04%2F0753" target="_blank" >GA309/04/0753: Diffusion parameters of the extracellular space in human gliomas</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2006

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Magnetic resonance materials in physics, biology and medicine

  • ISSN

    0968-5243

  • e-ISSN

  • Volume of the periodical

    19

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    14

  • Pages from-to

    1-14

  • UT code for WoS article

  • EID of the result in the Scopus database