Charakterisierung von Krankheitstrajektorien bei neurologischen Entwicklungsstörungen mit Sequenzen reichhaltig annotierter Graphen (RICHGRAPH)
Zusammenfassung der Projektergebnisse
To reduce current problems of tractography and connectomics we developed a novel tractography algorithm which establishes a new state of the art for bundlespecific reconstruction of white matter pathways. We evaluated this new algorithm, called TractSeg, in several extensive studies and showed that it has three major advantages over all existing algorithms and toolkits: It runs faster, it is easier to use and it is more accurate. We made this algorithm openly available as an easy to use toolkit so it can be used by researchers all over the world. Our toolkit has already found huge adoption in the research community: We know of at least 40 research labs which are using our toolkit including labs from renowned universities like Cambridge, Oxford, Harvard, MIT, Cornell or Charite. We were able to register over 2700 unique downloads of our toolkit which indicated that a lot more people we do not know of are using the toolkit we developed in this work. Moreover, we were able to contribute to research of catatonia by doing an extensive analysis of its implication for white matter pathways which has not been done before. This can help in understanding how this disease works and eventually in finding potential treatments. Moreover, the extension of this work towards other graph-based connectomic methods including NBS, dynamic network analysis and generative network models and their application in the context of imaging genetics, characterization of pathophysiology and intermediate phenotypes in psychiatric disorders proved successful/promising as evidenced by our publications and will be further extended in future studies.
Projektbezogene Publikationen (Auswahl)
- (2018). “Tract Orientation Mapping for Bundle-Specific Tractography”. In: Medical Image Computing and Computer- Assisted Intervention, pp. 36–44
Wasserthal, J., Neher, P. F., and Maier-Hein, K. H.
(Siehe online unter https://doi.org/10.1007/978-3-030-00931-1_5) - (2018). “TractSeg - Fast and accurate white matter tract segmentation”. In: NeuroImage 183, pp. 239–253
Wasserthal, J., Neher, P. F., and Maier-Hein, K. H.
(Siehe online unter https://doi.org/10.1016/j.neuroimage.2018.07.070) - (2019). “Combined tract segmentation and orientation mapping for bundle-specific tractography”. In: Medical Image Analysis 58.
Wasserthal, J., Neher, P. F., Hirjak, D., and Maier-Hein, K. H.
(Siehe online unter https://doi.org/10.1016/j.media.2019.101559) - (2020). “Multiparametric mapping of white matter microstructure in catatonia”. In: Neuropsychopharmacology
Wasserthal, J., Maier-Hein, K. H., Neher, P. F., Thomann, P. A., Northoff, G., Kubera, K. M., Fritze, S., Harneit, A., Geiger. L. S., Tost, H., Wolf, R. C., and Hirjak, D.
(Siehe online unter https://doi.org/10.1038/s41386-020-0691-2)
