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Inferring hippocampal structural connectivity is crucial to uncover the causal mechanisms of hippocampal function. Recent advances in diffusion imaging have shown improved performance of diffusion MRI data in estimating the underlying structure of nerve fibers. In this study, we propose a novel technique, the advanced filtered-based fiber tracking (AFBT) approach for obtaining microstructural information of the hippocampus. We show that the AFBT approach with multi-fiber-bundle model can achieve better performance compared with other commonly used approaches. We validated our AFBT method using synthetic and real diffusion MR data. Moreover, we utilized AFBT to study the effect of aging on the hippocampal structure. We show that the AFBT approach can reduce the total processing time from several days to several hours. More importantly, we also show that using AF 0b46394aab