Abstract #5236

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

Maira Tariq¹, Andrada Ianus^1,2, 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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