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Quantitative analyses after image processing revealed a marked increase in the number of multiple fractures, meaning the number of broken fibers in a broken fiber cluster, near the final fracture.
The analysis identified 6 fibers in the N fiber cluster, 8 H fibers, 6 Q fibers and 19 S fibers.
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From the perspective of white matter segmentation, we compare and contrast the goals and methods of the parcellation-based and clustering approaches, with special focus on reviewing the field of fiber clustering.
No further improvement in mechanical behavior was achieved beyond a certain fiber dosage due to increased porosity and fiber clustering.
Brain parcellation and fiber clustering are two major approaches that can separate the neurons into different groups/ROIs, and construct the connectome [97].
Adding fibers beyond a certain dosage led to fiber clustering, thus, no further gain in tensile and impact performance was measured.
Fiber clustering is designed to reconstruct anatomically-defined white matter tracts, while the parcellation-based white matter segmentation enables the study of the brain as a network.
We compare two strategies for modeling the connections of the brain's white matter: fiber clustering and the parcellation-based connectome.
The effect of the local fiber clustering on ERR is studied by varying distance between the broken fiber and the neighboring fibers.
The local fiber clustering has larger effect on the angular variation for shorter debonds and the effect increases with larger local fiber volume fraction.
Average values of compressive and flexural strengths are reduced as fiber dosage and length increase, as a result of porosity generated by fiber clustering.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com