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A Histology-Based Model of Quantitative T1 Contrast for In-vivo Cortical Parcellation of High-Resolution 7 Tesla Brain MR Images

Authors :
Christine L. Tardif
Juliane Dinse
Miriam Waehnert
Stefan Geyer
Robert Turner
Pierre-Louis Bazin
Andreas Schäfer
Source :
Advanced Information Systems Engineering ISBN: 9783642387081, MICCAI (2)
Publication Year :
2013
Publisher :
Springer Berlin Heidelberg, 2013.

Abstract

A conclusive mapping of myeloarchitecture (myelin patterns) onto the cortical sheet and, thus, a corresponding mapping to cytoarchitecture (cell configuration) does not exist today. In this paper we present a generative model which can predict, on the basis of known cytoarchitecture, myeloarchitecture in different primary and non-primary cortical areas, resulting in simulated in-vivo quantitative T1 maps. The predicted patterns can be used in brain parcellation. Our model is validated using a similarity distance metric which enables quantitative comparison of the results with empirical data measured using MRI. The work presented may provide new perspectives for this line of research, both in imaging and in modelling the relationship with myelo- and cytoarchitecture, thus leading the way towards in-vivo histology using MRI.

Details

ISBN :
978-3-642-38708-1
ISBNs :
9783642387081
Database :
OpenAIRE
Journal :
Advanced Information Systems Engineering ISBN: 9783642387081, MICCAI (2)
Accession number :
edsair.doi...........b966d6aa759346c764a8369083ba1246
Full Text :
https://doi.org/10.1007/978-3-642-40763-5_7