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Ronnie Wirestam

Professor

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Uncertainty estimation in dynamic contrast-enhanced MRI

Författare

  • Anders Garpebring
  • Patrik Brynolfsson
  • Jun Yu
  • Ronnie Wirestam
  • Adam Johansson
  • Thomas Asklund
  • Mikael Karlsson

Summary, in English

Using dynamic contrast-enhanced MRI (DCE-MRI), it is possible to estimate pharmacokinetic (PK) parameters that convey information about physiological properties, e.g., in tumors. In DCE-MRI, errors propagate in a nontrivial way to the PK parameters. We propose a method based on multivariate linear error propagation to calculate uncertainty maps for the PK parameters. Uncertainties in the PK parameters were investigated for the modified Kety model. The method was evaluated with Monte Carlo simulations and exemplified with in vivo brain tumor data. PK parameter uncertainties due to noise in dynamic data were accurately estimated. Noise with standard deviation up to 15% in the baseline signal and the baseline T1 map gave estimated uncertainties in good agreement with the Monte Carlo simulations. Good agreement was also found for up to 15% errors in the arterial input function amplitude. The method was less accurate for errors in the bolus arrival time with disagreements of 23%, 32%, and 29% for Ktrans, ve, and vp, respectively, when the standard deviation of the bolus arrival time error was 5.3 s. In conclusion, the proposed method provides efficient means for calculation of uncertainty maps, and it was applicable to a wide range of sources of uncertainty. Magn Reson Med 69:9921002, 2013. (c) 2012 Wiley Periodicals, Inc.

Avdelning/ar

  • Medicinsk strålningsfysik, Lund

Publiceringsår

2013

Språk

Engelska

Sidor

992-1002

Publikation/Tidskrift/Serie

Magnetic Resonance in Medicine

Volym

69

Issue

4

Dokumenttyp

Artikel i tidskrift

Förlag

John Wiley & Sons Inc.

Ämne

  • Radiology, Nuclear Medicine and Medical Imaging

Nyckelord

  • uncertainty estimation
  • dynamic contrast-enhanced-MRI
  • precision
  • analysis
  • accuracy

Aktiv

Published

ISBN/ISSN/Övrigt

  • ISSN: 1522-2594