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Uncertainty estimat...
Uncertainty estimation in dynamic contrast-enhanced MRI
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- Garpebring, Anders (författare)
- Umeå universitet,Radiofysik
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- Brynolfsson, Patrik (författare)
- Umeå universitet,Radiofysik
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- Yu, Jun, 1962- (författare)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skogsekonomi,Department of Forest Economics,Sveriges lantbruksuniversitet, Centre of Biostochastiscs
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- Wirestam, Ronnie (författare)
- Lund University,Lunds universitet,Medicinsk strålningsfysik, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Medical Radiation Physics, Lund,Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Lunds universitet, Medicinsk strålningsfysik
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- Johansson, Adam (författare)
- Umeå universitet,Radiofysik
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- Asklund, Thomas (författare)
- Umeå universitet,Onkologi
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- Karlsson, Mikael (författare)
- Umeå universitet,Radiofysik
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(creator_code:org_t)
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- 2012-06-19
- 2013
- Engelska.
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Ingår i: Magnetic Resonance in Medicine. - : Wiley-Blackwell. - 0740-3194 .- 1522-2594. ; 69:4, s. 992-1002
- Relaterad länk:
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http://dx.doi.org/10...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://lup.lub.lu.s...
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https://res.slu.se/i...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Nyckelord
- Uncertainty estimation
- dynamic contrast-enhanced-MRI
- precision analysis
- accuracy
- radiofysik
- radiation physics
- uncertainty estimation
- dynamic contrast-enhanced-MRI
- precision
- analysis
- accuracy
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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