The analysis and visualisation of Di usion Tensor Images (DTI) is still a challenge since it is multi-valued and exploratory in nature: tensors, ber tracts, bundles. This quickly leads to clutter problems in visualisation but also in analysis. In this paper, a new framework for the multi-resolution analysis of DTI is proposed. Based on fast and greedy watersheds operating on a multi-scale representation of a DTI image, a hierarchical depiction of a DTI image is determined conveying a global-to-local view of the brous structure of the analysed tissue. The multi-resolution watershed transform provides a coarse to ne partitioning of the data based on the (in)homogeneity of the gradient eld. With a transversal cross scale linking of the basins (regions), a hierarchical representation is established. This framework besides providing a novel hierarchical way to analyse DTI data, allows a simple and interactive segmentation tool where different bundles can be segmented at di erent resolutions. We present preliminary experimental results supporting the validity of the proposed method.
|Title of host publication||2nd Annual Meeting of the Benelux ISMRM|
|Number of pages||12|
|Publication status||Published - 2010|
|Event||2nd Annual Meeting of the Benelux ISMRM - Utrecht, Netherlands|
Duration: 18 Jan 2010 → 18 Jan 2010
|Conference||2nd Annual Meeting of the Benelux ISMRM|
|Period||18/01/10 → 18/01/10|