Till sidans topp

Sidansvarig: Webbredaktion
Sidan uppdaterades: 2012-09-11 15:12

Tipsa en vän
Utskriftsversion

Impact of prior distribut… - Göteborgs universitet Till startsida
Webbkarta
Till innehåll Läs mer om hur kakor används på gu.se

Impact of prior distributions and central tendency measures on Bayesian intravoxel incoherent motion model fitting

Artikel i vetenskaplig tidskrift
Författare Oscar Gustafsson
Mikael Montelius
Göran Starck
Maria Ljungberg
Publicerad i Magnetic Resonance in Medicine
Volym 79
Nummer/häfte 3
Sidor 1674-1683
ISSN 0740-3194
Publiceringsår 2018
Publicerad vid Institutionen för kliniska vetenskaper, Avdelningen för radiofysik
Sidor 1674-1683
Språk en
Länkar dx.doi.org/10.1002/mrm.26783
https://gup.ub.gu.se/file/207752
Ämnesord Bayesian estimation, Central tendency measure, Intravoxel incoherent motion, Prior distribution
Ämneskategorier Cancer och onkologi, Radiofysik, Diagnostisk radiologi, Radiologi och bildbehandling

Sammanfattning

© 2017 International Society for Magnetic Resonance in Medicine.Purpose: Bayesian model fitting has been proposed as a robust alternative for intravoxel incoherent motion (IVIM) model-fitting parameter estimation. However, consensus regarding choice of prior distribution and posterior distribution central tendency measure is needed. The aim of this study was to compare the quality of IVIM parameter estimates produced by different prior distributions and central tendency measures, and to gain knowledge about the effect of these choices. Methods: Three prior distributions (uniform, reciprocal, and lognormal) and two measures of central tendency (mean and mode) found in the literature were studied using simulations and in vivo data from a tumor mouse model. Results: Simulations showed that the uniform and lognormal priors were superior to the reciprocal prior, especially for the parameters D and f and clinically relevant SNR levels. The choice of central tendency measure had less effect on the results, but had some effects on estimation bias. Results based on simulations and in vivo data agreed well, indicating high validity of the simulations. Conclusions: Choice of prior distribution and central tendency measure affects the results of Bayesian IVIM parameter estimates. This must be considered when comparing results from different studies. The best overall quality of IVIM parameter estimates was obtained using the lognormal prior.

Sidansvarig: Webbredaktion|Sidan uppdaterades: 2012-09-11
Dela:

På Göteborgs universitet använder vi kakor (cookies) för att webbplatsen ska fungera på ett bra sätt för dig. Genom att surfa vidare godkänner du att vi använder kakor.  Vad är kakor?

Denna text är utskriven från följande webbsida:
http://www.gu.se/forskning/publikation/?languageId=100000&disableRedirect=true&returnUrl=http%3A%2F%2Fwww.gu.se%2Fenglish%2Fresearch%2Fpublication%2F%3Fprint%3Dtrue%26publicationId%3D254823&publicationId=254823
Utskriftsdatum: 2019-10-14