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Abstract #4508

Validating pore size estimates in a biomimetic microfibre architecture with a stochastic distribution of pore-sizes and cross-sectional shapes

Chih-Chin Heather Hsu1, Chun-Chung Huang2,3, Slawomir Kusmia4, Mark Drakesmith4, Feng-Lei Zhou5, Geoff Parker5, Ching-Po Lin2,3,6, and Derek Jones4
1Department of Biomedical Imaging and Radiological Science, National Yang Ming University, Taipei, Taiwan, 2Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China, 3Aging and Health Research Center, National Yang-Ming University, Taipei, Taiwan, 4Cardiff University Brain Research Imaging Center (CUBRIC), Cardiff University, Cardiff, United Kingdom, 5Centre for Medical Image Computing, University College London, London, United Kingdom, 6Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan

Previous studies showed that AxCaliber-like frameworks produce reliable orientation and inner diameter estimates in idealised phantoms (i.e., highly parallel hollow cylinders with uniform circular cross-section). We extend this work to ‘biomimetic’ phantoms, having stochastic pore-size distributions, non-circular cross sections and complex (i.e., crossing) fibre configurations. Using a Connectom scanner, and assuming a Poisson pore-size distribution, inner diameter and crossing angle estimates were in excellent agreement with electron-microscopy measurements in the same sample. To our knowledge, this is the first validation of pore-size estimates in complex geometries on a human scanner, lending support to the promise of mapping these parameters in-vivo.

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