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Information theoretic ranking of four models of diffusion attenuation in fresh and fixed prostate tissue ex vivo
Magnetic resonance in medicine, 2014-11, Vol.72 (5), p.1418-1426
Bourne, Roger M.
Panagiotaki, Eleftheria
Bongers, Andre
Sved, Paul
Watson, Geoffrey
Alexander, Daniel C.
2014
Details
Autor(en) / Beteiligte
Bourne, Roger M.
Panagiotaki, Eleftheria
Bongers, Andre
Sved, Paul
Watson, Geoffrey
Alexander, Daniel C.
Titel
Information theoretic ranking of four models of diffusion attenuation in fresh and fixed prostate tissue ex vivo
Ist Teil von
Magnetic resonance in medicine, 2014-11, Vol.72 (5), p.1418-1426
Ort / Verlag
United States: Blackwell Publishing Ltd
Erscheinungsjahr
2014
Link zum Volltext
Quelle
Wiley Online Library - AutoHoldings Journals
Beschreibungen/Notizen
Purpose To compare the theoretical information content of four popular models of diffusion‐weighted signal attenuation. Method Four whole prostates were imaged fresh unfixed and fixed at 9.4T. Biexponential, kurtosis, stretched exponential, and monoexponential models were ranked using Akaike's Information Criterion (AIC) with validation by a leave‐one‐out test of model prediction error. Results For unfixed tissue measurements (b‐value range: 17–2104 s/mm2) the biexponential and kurtosis models had similar information content to each other and this was distinctly higher than for the stretched and monoexponential models. In fixed‐tissue measurements (b‐value range: 17–8252 s/mm2), the biexponential model had much higher information content than the three other models. Conclusion AIC‐based model ranking is consistent with an independent prediction accuracy test. Biexponential and kurtosis models consistently perform better than stretched and monoexponential models. The biexponential model has increasing superiority over all three other models as maximum b‐value increases above ∼2000 s/mm2. Magn Reson Med 72:1418–1426, 2014. © 2013 Wiley Periodicals, Inc.
Sprache
Englisch
Identifikatoren
ISSN: 0740-3194
eISSN: 1522-2594
DOI: 10.1002/mrm.25032
Titel-ID: cdi_proquest_miscellaneous_1618158175
Format
–
Schlagworte
Akaike Information Criterion
,
Algorithms
,
diffusion
,
Diffusion Magnetic Resonance Imaging - methods
,
Humans
,
Image Processing, Computer-Assisted
,
In Vitro Techniques
,
Male
,
Middle Aged
,
modelling
,
Neoplasm Grading
,
prostate
,
Prostate - anatomy & histology
,
Reproducibility of Results
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