Robust maximum likelihood estimation in Q-space MRI

B. A. Landman; J. A.D. Farrell; S. A. Smith; P. A. Calabresi; P. C.M. Van Zijl; J. L. Prince

doi:10.1109/ISBI.2008.4541134

Robust maximum likelihood estimation in Q-space MRI

B. A. Landman, J. A.D. Farrell, S. A. Smith, P. A. Calabresi, P. C.M. Van Zijl, J. L. Prince

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

Abstract

Q-space imaging is an emerging diffusion weighted MR imaging technique to estimate molecular diffusion probability density functions (PDF's) without the need to assume a Gaussian distribution. We present a robust M-estimator, Q-space Estimation by Maximizing Rician Likelihood (QEMRL), for diffusion PDF's based on maximum likelihood. PDF's are modeled by constrained Gaussian mixtures. In QEMRL, robust likelihood measures mitigate the impacts of imaging artifacts. In simulation and in vivo human spinal cord, the method improves reliability of estimated PDF's and increases tissue contrast. QEMRL enables more detailed exploration of the PDF properties than prior approaches and may allow acquisitions at higher spatial resolution.

Original language	English (US)
Title of host publication	2008 5th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, Proceedings, ISBI
Pages	867-870
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2008.4541134
State	Published - 2008
Event	2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France Duration: May 14 2008 → May 17 2008

Publication series

Name	2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Other

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

Keywords

Diffusion
Magnetic resonance imaging
Maximum likelihood
Probability
Q-space

ASJC Scopus subject areas

Biomedical Engineering

Access to Document

10.1109/ISBI.2008.4541134

Cite this

Landman, B. A., Farrell, J. A. D., Smith, S. A., Calabresi, P. A., Van Zijl, P. C. M., & Prince, J. L. (2008). Robust maximum likelihood estimation in Q-space MRI. In 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI (pp. 867-870). Article 4541134 (2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI). https://doi.org/10.1109/ISBI.2008.4541134

Robust maximum likelihood estimation in Q-space MRI. / Landman, B. A.; Farrell, J. A.D.; Smith, S. A. et al.
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI. 2008. p. 867-870 4541134 (2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI).

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

Landman, BA, Farrell, JAD, Smith, SA, Calabresi, PA , Van Zijl, PCM & Prince, JL 2008, Robust maximum likelihood estimation in Q-space MRI. in 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI., 4541134, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI, pp. 867-870, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI, Paris, France, 5/14/08. https://doi.org/10.1109/ISBI.2008.4541134

Landman BA, Farrell JAD, Smith SA, Calabresi PA , Van Zijl PCM , Prince JL. Robust maximum likelihood estimation in Q-space MRI. In 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI. 2008. p. 867-870. 4541134. (2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI). doi: 10.1109/ISBI.2008.4541134

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title = "Robust maximum likelihood estimation in Q-space MRI",

abstract = "Q-space imaging is an emerging diffusion weighted MR imaging technique to estimate molecular diffusion probability density functions (PDF's) without the need to assume a Gaussian distribution. We present a robust M-estimator, Q-space Estimation by Maximizing Rician Likelihood (QEMRL), for diffusion PDF's based on maximum likelihood. PDF's are modeled by constrained Gaussian mixtures. In QEMRL, robust likelihood measures mitigate the impacts of imaging artifacts. In simulation and in vivo human spinal cord, the method improves reliability of estimated PDF's and increases tissue contrast. QEMRL enables more detailed exploration of the PDF properties than prior approaches and may allow acquisitions at higher spatial resolution.",

keywords = "Diffusion, Magnetic resonance imaging, Maximum likelihood, Probability, Q-space",

author = "Landman, {B. A.} and Farrell, {J. A.D.} and Smith, {S. A.} and Calabresi, {P. A.} and {Van Zijl}, {P. C.M.} and Prince, {J. L.}",

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AB - Q-space imaging is an emerging diffusion weighted MR imaging technique to estimate molecular diffusion probability density functions (PDF's) without the need to assume a Gaussian distribution. We present a robust M-estimator, Q-space Estimation by Maximizing Rician Likelihood (QEMRL), for diffusion PDF's based on maximum likelihood. PDF's are modeled by constrained Gaussian mixtures. In QEMRL, robust likelihood measures mitigate the impacts of imaging artifacts. In simulation and in vivo human spinal cord, the method improves reliability of estimated PDF's and increases tissue contrast. QEMRL enables more detailed exploration of the PDF properties than prior approaches and may allow acquisitions at higher spatial resolution.

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KW - Magnetic resonance imaging

KW - Maximum likelihood

KW - Probability

KW - Q-space

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Robust maximum likelihood estimation in Q-space MRI

Abstract

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Keywords

ASJC Scopus subject areas

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