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 Huang^2,3, Slawomir Kusmia⁴, Mark Drakesmith⁴, Feng-Lei Zhou⁵, Geoff Parker⁵, Ching-Po Lin^2,3,6, 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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