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ROBUST MAXIMUM LIKELIHOOD ESTIMATION IN Q-SPACE MRI.
|Title||ROBUST MAXIMUM LIKELIHOOD ESTIMATION IN Q-SPACE MRI.|
|Publication Type||Journal Article|
|Year of Publication||2008|
|Authors||Landman BA, Farrell JAD, Smith SA, Calabresi PA, van Zijl PCM, Prince JL|
|Journal||Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging|
|Date Published||2008 May 14|
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.
|Alternate Journal||Proc IEEE Int Symp Biomed Imaging|