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Abstract #1746

Multi-level fiber tracking: evaluation on clinical data

Andrey Zhylka1, Nico Sollmann2,3, Alberto De Luca4, Daniel Krahulec5, Marcel Breeuwer1,5, Alexander Leemans4, and Josien Pluim1
1Biomedical Engineering department, Eindhoven University of Technology, Eindhoven, Netherlands, 2Department of Diagnostic and Interventional Neuroradiology, , Klinikum rechts der Isar, Technische Universität München, Munich, Germany, 3TUM-Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany, 4University Medical Center Utrecht, Utrecht, Netherlands, 5MR R&D Clinical Science, Philips Healthcare, Best, Netherlands

Conventional deterministic fiber tractography approaches commonly used in clinical applications are prone to generating false-negative reconstructions, which might influence further decision-making related to treatment and repeated surgery in patients with brain tumors. Surgery-related effects, such as blood inflow into white matter and edema, further distort the diffusion signal, complicating the task of tractography. We evaluated a novel multi-level fiber tractography approach on data of subjects who had undergone tumor resection. A comparison with conventional deterministic approaches is performed. The results were correlated with the reported motor-function deficit grades.

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