Quantifying the local tissue volume and composition in individual brains with MRI

Abstract

We describe a quantitative neuroimaging method to estimate the macromolecular tissue volume (MTV), a fundamental measure of brain anatomy. By making measurements over a range of field strengths and scan parameters, we tested the key assumptions and the robustness of the method. The measurements confirm that a consistent, quantitative estimate of macromolecular volume can be obtained across a range of scanners. MTV estimates are sufficiently precise to enable a comparison between data obtained from an individual subject with control population data. We describe two applications. First, we show that MTV estimates can be combined with T1 and diffusion measurements to augment our understanding of the tissue properties. Second we show that MTV provides a sensitive measure of disease status in individual patients with multiple sclerosis. The MTV maps are obtained using short clinically appropriate scans that can reveal how tissue changes influence behavior and cognition. Users may view, print, copy, download and text and datamine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms Competing financial interests Stanford University has filed a patent application describing the technology used in this study (A.M., R.F.D and B.A.W). Author Contributions A.M and B.A.W developed the method, wrote the manuscript, and prepared the figures. J.D.Y., N.S., M.L.P., R.F.D. K.B.P and A.M obtained the data. N.S, R.F.D, K.N.K., and A.M developed analysis tools. J.P and L.H.H. diagnosed the M.S patient and enabled those scans. A.M and J.D.Y developed the diffusion methods and applications. B.W provided equipment and administered the experiment. All authors edited the manuscript. HHS Public Access Author manuscript Nat Med. Author manuscript; available in PMC 2014 June 01. Published in final edited form as: Nat Med. 2013 December ; 19(12): 1667–1672. doi:10.1038/nm.3390. A uhor M anscript

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Cite this paper

@inproceedings{Mezer2013QuantifyingTL, title={Quantifying the local tissue volume and composition in individual brains with MRI}, author={Aviv Mezer and Jason D. Yeatman and Nikola Stikov and Kendrick N. Kay and N Cho and Robert F. Dougherty and Michael L. Perry and Josef Parvizi and Le H. Hua and Kim Butts-Pauly and Brian A. Wandell}, year={2013} }