A model-free unsupervised method to cluster brain tissue directly From DWI volumes

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

We present a simple, novel approach to the voxelwise classification of brain tissue acquired with diffusion-weighted imaging (DWI). By working directly upon the individual DWI volume data, it makes no assumption of an underlying diffusion model. In addition, by summarising statistics across the diffusion gradient directions, we obtain features that are rotationally invariant. We show an example of how well a resulting cluster spatially matches a high FA region, thereby corresponding to probable single-tract voxels. The method could have application during tractography pre-processing, and has potential as a complementary approach for analysis of DWI datasets.
Original languageEnglish
Publication date2014
Number of pages1
Publication statusPublished - 2014
EventJoint Annual Meeting ISMRM-ESMRMB 2014: fashioning MR to improve global healthcare - Milano, Italy
Duration: 10 May 201416 May 2014


ConferenceJoint Annual Meeting ISMRM-ESMRMB 2014

ID: 144735943