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Abstract #5236

Microstructure characterisation of fixed prostate tissue using ultra high-resolution diffusion-weighted MRI

Maira Tariq1, Andrada Ianus1,2, Nyoman Kurniawan3, Gary Cowin4, Daniel C Alexander 1, Roger M Bourne5, and Eleftheria Panagiotaki1

1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal, 3Center for Advanced Imaging, University of Queensland, Brisbane, Australia, 4National Imaging Facility, Queensland Node, Center for Advanced Imaging, University of Queensland, Brisbane, Australia, 5Discipline of Medical Radiation Sciences, Faculty of Health Sciences, University of Sydney, Sydney, Australia

This work explores ultra-high field microimaging of prostate tissue using diffusion compartment modelling. The acquired ultra-high-resolution data provides a unique opportunity to investigate the accuracy of the diffusion estimates as well as the contribution of various tissue components to the diffusion signal. We compare several multi-compartment models to explore the best microstructure model for prostate tissue. We find plausible results for the data and models used, which will be compared to corresponding histology. Future work will use more samples and extend the models compared to get a comprehensive analysis of the data.

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