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Measurement Tensors in Diffusion MRI: Generalizing the Concept of Diffusion Encoding
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA .
Lund University, Sweden.
Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA.
Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA.
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2014 (English)In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part III, Springer, 2014, 209-216 p.Conference paper (Refereed)
Abstract [en]

In traditional diffusion MRI, short pulsed field gradients (PFG) are used for the diffusion encoding. The standard Stejskal-Tanner sequence uses one single pair of such gradients, known as single-PFG (sPFG). In this work we describe how trajectories in q-space can be used for diffusion encoding. We discuss how such encoding enables the extension of the well-known scalar b-value to a tensor-valued entity we call the diffusion measurement tensor. The new measurements contain information about higher order diffusion propagator covariances not present in sPFG. As an example analysis, we use this new information to estimate a Gaussian distribution over diffusion tensors in each voxel, described by its mean (a diffusion tensor) and its covariance (a 4th order tensor). © 2014 Springer International Publishing.

Place, publisher, year, edition, pages
Springer, 2014. 209-216 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 8675
National Category
Medical Image Processing
URN: urn:nbn:se:liu:diva-110597DOI: 10.1007/978-3-319-10443-0_27ISI: 000346250200027ScopusID: 2-s2.0-84906968830ISBN: 978-3-319-10442-3 (print)ISBN: 978-3-319-10443-0 (online)OAI: diva2:747096
17th International Conference (MICCAI 2014), Boston, MA, USA, September 14-18, 2014
NIH (National Institute of Health)Swedish Research Council
Available from: 2014-09-15 Created: 2014-09-15 Last updated: 2015-08-19Bibliographically approved

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