PMID- 20490362 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20240312 IS - 1945-7928 (Print) IS - 1945-8452 (Electronic) IS - 1945-7928 (Linking) VI - 2008 DP - 2008 May 14 TI - ROBUST MAXIMUM LIKELIHOOD ESTIMATION IN Q-SPACE MRI. PG - 867-870 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. FAU - Landman, B A AU - Landman BA AD - Johns Hopkins University School of Medicine and Kennedy Krieger Institute Biomedical Engineering, Biophysics, Neurology, Radiology, and the F.M. Kirby Center Baltimore, Maryland, USA. FAU - Farrell, J A D AU - Farrell JA FAU - Smith, S A AU - Smith SA FAU - Calabresi, P A AU - Calabresi PA FAU - van Zijl, P C M AU - van Zijl PC FAU - Prince, J L AU - Prince JL LA - eng GR - R01 AG020012/AG/NIA NIH HHS/United States GR - P41 RR015241-02/RR/NCRR NIH HHS/United States GR - P41 RR015241/RR/NCRR NIH HHS/United States GR - P41 EB015909/EB/NIBIB NIH HHS/United States GR - R01 AG020012-01/AG/NIA NIH HHS/United States PT - Journal Article PL - United States TA - Proc IEEE Int Symp Biomed Imaging JT - Proceedings. IEEE International Symposium on Biomedical Imaging JID - 101492570 PMC - PMC2872926 MID - NIHMS174929 EDAT- 2008/05/14 00:00 MHDA- 2008/05/14 00:01 PMCR- 2010/05/19 CRDT- 2011/09/28 06:00 PHST- 2011/09/28 06:00 [entrez] PHST- 2008/05/14 00:00 [pubmed] PHST- 2008/05/14 00:01 [medline] PHST- 2010/05/19 00:00 [pmc-release] AID - 10.1109/isbi.2008.4541134 [doi] PST - ppublish SO - Proc IEEE Int Symp Biomed Imaging. 2008 May 14;2008:867-870. doi: 10.1109/isbi.2008.4541134.