Uncertainty estimation in dynamic contrast‐enhanced MRI. Issue 4 (19th June 2012)
- Record Type:
- Journal Article
- Title:
- Uncertainty estimation in dynamic contrast‐enhanced MRI. Issue 4 (19th June 2012)
- Main Title:
- Uncertainty estimation in dynamic contrast‐enhanced MRI
- Authors:
- Garpebring, Anders
Brynolfsson, Patrik
Yu, Jun
Wirestam, Ronnie
Johansson, Adam
Asklund, Thomas
Karlsson, Mikael - Abstract:
- <abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>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 <italic>T</italic><sub>1</sub> 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 <italic>K</italic><sup>trans</sup>, <italic>v</italic><sub>e</sub>, and <italic>v</italic><sub>p</sub>, 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<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>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 <italic>T</italic><sub>1</sub> 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 <italic>K</italic><sup>trans</sup>, <italic>v</italic><sub>e</sub>, and <italic>v</italic><sub>p</sub>, 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 69:992–1002, 2013. © 2012 Wiley Periodicals, Inc.</p> </abstract> … (more)
- Is Part Of:
- Magnetic resonance in medicine. Volume 69:Issue 4(2013:Apr.)
- Journal:
- Magnetic resonance in medicine
- Issue:
- Volume 69:Issue 4(2013:Apr.)
- Issue Display:
- Volume 69, Issue 4 (2013)
- Year:
- 2013
- Volume:
- 69
- Issue:
- 4
- Issue Sort Value:
- 2013-0069-0004-0000
- Page Start:
- 992
- Page End:
- 1002
- Publication Date:
- 2012-06-19
- Subjects:
- Nuclear magnetic resonance -- Periodicals
Electron paramagnetic resonance -- Periodicals
616.07548 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1522-2594 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/mrm.24328 ↗
- Languages:
- English
- ISSNs:
- 0740-3194
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5337.798000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3575.xml