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20 August 2020 Challenges in tractogram filtering for structural brain connectomics
Rodrigo Moreno
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Proceedings Volume 11469, Emerging Topics in Artificial Intelligence 2020; 114690U (2020) https://doi.org/10.1117/12.2570548
Event: SPIE Nanoscience + Engineering, 2020, Online Only
Abstract
Structural connectomics uses tractography for inferring the physical connections between brain regions. An issue of current tractography methods is their large false-positive rate, which makes them not reliable enough for assessing structural connectivity. An approach to deal with this problem is tractogram filtering in which anatomically implausible streamlines are discarded as a post-processing step after tractography. In this talk, I will first review the main approaches and methods that have been proposed in the literature for tractogram filtering and their limitations. Second, I will describe our efforts of using artificial intelligence for improving the accuracy of structural connectivity analyses. Finally, I will give a perspective on the main challenges for the development of new methods in this field in the next few years.
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Rodrigo Moreno "Challenges in tractogram filtering for structural brain connectomics", Proc. SPIE 11469, Emerging Topics in Artificial Intelligence 2020, 114690U (20 August 2020); https://doi.org/10.1117/12.2570548
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KEYWORDS
Brain
Artificial intelligence
Diffusion magnetic resonance imaging
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