Segmenting crossing fiber geometries using fluid mechanics tensor distribution function tractography

Nathan Hageman, Alex Leow, David Shattuck, Liang Zhan, Paul Thompson, Siwei Zhu, Arthur Toga
2009 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
We introduce a fluid mechanics based tractography method that estimates the most likely connection path between points in a tensor distribution function (TDF) dataset. We simulated the flow of an artificial fluid whose properties are related to the underlying TDF dataset. The resulting fluid velocity was used as a metric of connection strength. We validated our algorithm using a digital phantom dataset based on a pattern with two intersecting tracts. When compared to a TDF streamline method and
more » ... reamline method and our single tensor fluid mechanics tractography algorithm, our method was able to segment intersecting tracts at a finer spatial resolution. Our method was successfully applied to human control data to segment a major fiber pathway, the corpus callosum, even in problematic regions with crossing fiber geometries.
doi:10.1109/isbi.2009.5193325 dblp:conf/isbi/HagemanLSZTZT09 fatcat:aohrowxpjnfdri7othro3eicum