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Abstract #0880

A new framework to build high quality tractography-based DWI brain templates using COMMIT

Richard Stones1, Ahmad Beyh1,2, Rachel Barrett1, Alessandro Daducci3, and Flavio Dell'Acqua1
1Natbrainlab, King's College London, London, United Kingdom, 2University College London, London, United Kingdom, 3Universita di Verona, Verona, Italy

Synopsis

In this study we present a novel method for building high quality tractography-based DWI brain templates. We use streamline normalisation to obtain the correct anatomical fibre orientation information in template space and then regenerate the diffusion signal using the COMMIT framework. The template fODF field and tractography reconstructions show good anatomical agreement with well known white matter structures. This framework could provide new templates, atlases and tools for normalisation of DWI data, and simplify the creation of realistic DWI phantoms.

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