title: Brain tissue compartment density estimated using diffusion-weighted MRI yields tissue parameters consistent with histology.
abstract: We examined whether quantitative density measures of cerebral tissue consistent with histology can be obtained from diffusion magnetic resonance imaging (MRI). By incorporating prior knowledge of myelin and cell membrane densities, absolute tissue density values were estimated from relative intracellular and intraneurite density values obtained from diffusion MRI. The NODDI (neurite orientation distribution and density imaging) technique, which can be applied clinically, was used. Myelin density estimates were compared with the results of electron and light microscopy in ex vivo mouse brain and with published density estimates in a healthy human brain. In ex vivo mouse brain, estimated myelin densities in different subregions of the mouse corpus callosum were almost identical to values obtained from electron microscopy (diffusion MRI: 42 ± 6%, 36 ± 4%, and 43 ± 5%; electron microscopy: 41 ± 10%, 36 ± 8%, and 44 ± 12% in genu, body and splenium, respectively). In the human brain, good agreement was observed between estimated fiber density measurements and previously reported values based on electron microscopy. Estimated density values were unaffected by crossing fibers.
authors.affiliation: Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia.|Queensland Brain Institute, The University of Queensland, Brisbane, Australia.
authors.forename: Farshid
authors.initials: F
authors.lastname: Sepehrband
authors.affiliation: Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California.
authors.forename: Kristi A
authors.initials: KA
authors.lastname: Clark
authors.affiliation: Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia.
authors.forename: Jeremy F P
authors.initials: JF
authors.lastname: Ullmann
authors.affiliation: Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia.
authors.forename: Nyoman D
authors.initials: ND
authors.lastname: Kurniawan
authors.affiliation: Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia.
authors.forename: Gayeshika
authors.initials: G
authors.lastname: Leanage
authors.affiliation: Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia.
authors.forename: David C
authors.initials: DC
authors.lastname: Reutens
authors.affiliation: Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia.|School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia.
authors.forename: Zhengyi
authors.initials: Z
authors.lastname: Yang
mesh_terms: D000328:Adult; D000818:Animals; D016880:Anisotropy; D003337:Corpus Callosum / Q000378:metabolism*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D008297:Male; D051379:Mice; D008810:Mice, Inbred C57BL; D008854:Microscopy, Electron; D008962:Models, Theoretical; D009186:Myelin Sheath / Q000378:metabolism*; D066127:White Matter / Q000378:metabolism
keywords: DTI; NODDI; diffusion-weighted MRI; electron microscopy; tissue compartment density; validation