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A Simulation Tool for Evaluating Fiber Tractography Algorithms

By B. C. Wünsche and J. Li


Abstract. Diffusion-Tensor Magnetic Resonance Imaging is a popular imaging modality for reconstructing the nerve fiber structure in the brain. In recent years many fiber tracking algorithms have been proposed, but little research has been done comparing them and evaluating their suitability for pathological neuroanatomy. We present a modeling tool for designing normal and abnormal neuroanatomical features and for synthesizing diffusion tensor imaging data from it in order to compare fiber tractography algorithms. Initial results indicate that our modeling techniques make it easy to simulate DTI data sets for healthy and pathological brain anatomy. We compared three simple fiber tractography algorithms using our synthesized data and we obtained similar results as reported in the literature for more basic artificial DTI data sets

Topics: fiber tractography, diffusion tensor imaging, simulation tool, soft object, isosurface
Year: 2009
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