ArticleNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2019
Automatic Removal of False Connections in Diffusion MRI Tractography Using Topology-Informed Pruning (TIP).
Article in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers.
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139 citing papers in PubMed, 217 citations in OpenAlex.
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79 more citing papers are in PubMed but not listed here.
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7 authors at 2 institutions in 1 country.
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Abstract
Diffusion MRI fiber tracking provides a non-invasive method for mapping the trajectories of human brain connections, but its false connection problem has been a major challenge. This study introduces topology-informed pruning (TIP), a method that automatically identifies singular tracts and eliminates them to improve the tracking accuracy. The accuracy of the tractography with and without TIP was evaluated by a team of 6 neuroanatomists in a blinded setting to examine whether TIP could improve the accuracy. The results showed that TIP improved the tracking accuracy by 11.93% in the single-shell scheme and by 3.47% in the grid scheme. The improvement is significantly different from a random pruning (p value < 0.001). The diagnostic agreement between TIP and neuroanatomists was comparable to the agreement between neuroanatomists. The proposed TIP algorithm can be used to automatically clean-up noisy fibers in deterministic tractography, with a potential to confirm the existence of a fiber connection in basic neuroanatomical studies or clinical neurosurgical planning.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.