Robust maximum likelihood estimation in Q-space MRI

B. A. Landman, J. A D Farrell, S. A. Smith, Peter Calabresi, Peter C Van Zijl, Jerry Ladd Prince

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publication2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI
Pages867-870
Number of pages4
DOIs
StatePublished - 2008
Event2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France
Duration: May 14 2008May 17 2008

Other

Other2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
CountryFrance
CityParis
Period5/14/085/17/08

Fingerprint

Maximum likelihood estimation
Magnetic resonance imaging
Probability density function
Imaging techniques
Gaussian distribution
Maximum likelihood
Tissue

Keywords

  • Diffusion
  • Magnetic resonance imaging
  • Maximum likelihood
  • Probability
  • Q-space

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Landman, B. A., Farrell, J. A. D., Smith, S. A., Calabresi, P., Van Zijl, P. C., & 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). [4541134] 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.; Calabresi, Peter; Van Zijl, Peter C; Prince, Jerry Ladd.

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI. 2008. p. 867-870 4541134.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Landman, BA, Farrell, JAD, Smith, SA, Calabresi, P, Van Zijl, PC & 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, 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 P, Van Zijl PC, 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 https://doi.org/10.1109/ISBI.2008.4541134
Landman, B. A. ; Farrell, J. A D ; Smith, S. A. ; Calabresi, Peter ; Van Zijl, Peter C ; Prince, Jerry Ladd. / Robust maximum likelihood estimation in Q-space MRI. 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI. 2008. pp. 867-870
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