Validation of models for the diffusion weighted MR signal in brain white matter

Els Fieremans; Yves De Deene; Ignace Lemahieu

doi:10.1109/ISBI.2008.4541146

Validation of models for the diffusion weighted MR signal in brain white matter

Els Fieremans^*, Yves De Deene, Ignace Lemahieu

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

The diffusion weighted MR-signal attenuation in brain white matter is not mono-exponential. A bi-exponential model has been proposed since this fits the data well. We have modeled the diffusion weighted MR-signal by Monte Carlo simulations in a fiber geometry similar to brain white matter. Although the bi-exponential model fitted the data very well, the fitted diffusion coefficients and fractions did not converge to the simulated values in the intra and extra cellular space. However, fitting the cumulant expansion form terminated after the N^th order term to the data results in accurate fits for the diffusion coefficient and kurtosis.

Original language	English
Title of host publication	2008 5th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	from nano to macro, proceedings, ISBI
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	915-918
Number of pages	4
ISBN (Print)	9781424420032
DOIs	https://doi.org/10.1109/ISBI.2008.4541146
Publication status	Published - 2008
Externally published	Yes
Event	2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France Duration: 14 May 2008 → 17 May 2008

Other

Other	2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
Country/Territory	France
City	Paris
Period	14/05/08 → 17/05/08

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10.1109/ISBI.2008.4541146

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title = "Validation of models for the diffusion weighted MR signal in brain white matter",

abstract = "The diffusion weighted MR-signal attenuation in brain white matter is not mono-exponential. A bi-exponential model has been proposed since this fits the data well. We have modeled the diffusion weighted MR-signal by Monte Carlo simulations in a fiber geometry similar to brain white matter. Although the bi-exponential model fitted the data very well, the fitted diffusion coefficients and fractions did not converge to the simulated values in the intra and extra cellular space. However, fitting the cumulant expansion form terminated after the Nth order term to the data results in accurate fits for the diffusion coefficient and kurtosis.",

author = "Els Fieremans and {De Deene}, Yves and Ignace Lemahieu",

year = "2008",

doi = "10.1109/ISBI.2008.4541146",

language = "English",

isbn = "9781424420032",

pages = "915--918",

booktitle = "2008 5th IEEE International Symposium on Biomedical Imaging",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI ; Conference date: 14-05-2008 Through 17-05-2008",

}

Fieremans, E, De Deene, Y & Lemahieu, I 2008, Validation of models for the diffusion weighted MR signal in brain white matter. in 2008 5th IEEE International Symposium on Biomedical Imaging: from nano to macro, proceedings, ISBI., 4541146, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 915-918, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI, Paris, France, 14/05/08. https://doi.org/10.1109/ISBI.2008.4541146

Validation of models for the diffusion weighted MR signal in brain white matter. / Fieremans, Els; De Deene, Yves; Lemahieu, Ignace.
2008 5th IEEE International Symposium on Biomedical Imaging: from nano to macro, proceedings, ISBI. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2008. p. 915-918 4541146.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AB - The diffusion weighted MR-signal attenuation in brain white matter is not mono-exponential. A bi-exponential model has been proposed since this fits the data well. We have modeled the diffusion weighted MR-signal by Monte Carlo simulations in a fiber geometry similar to brain white matter. Although the bi-exponential model fitted the data very well, the fitted diffusion coefficients and fractions did not converge to the simulated values in the intra and extra cellular space. However, fitting the cumulant expansion form terminated after the Nth order term to the data results in accurate fits for the diffusion coefficient and kurtosis.

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Validation of models for the diffusion weighted MR signal in brain white matter

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