Abstract #1291

MRI tractography-guided PET image reconstruction regularisation using connectome-based nonlocal means filtering

Zhuopin Sun¹, Georgios Angelis^1,2, Steve Meikle^3,4, and Fernando Calamante^1,4,5

¹School of Biomedical Engineering, The University of Sydney, Sydney, Australia, ²Australian National Imaging Facility, The University of Sydney, Sydney, Australia, ³Faculty of Medicine and Health, The University of Sydney, Sydney, Australia, ⁴Brain and Mind Centre, The University of Sydney, Sydney, Australia, ⁵Sydney Imaging, The University of Sydney, Sydney, Australia

Synopsis

Diffusion MRI (dMRI) can provide a wealth of information about brain microstructure and connectivity, but its use in PET-MRI image reconstruction has not been exploited. We incorporated dMRI-derived prior information as a regulariser into the iterative PET One-Step Late Maximum A Posteriori (OSLMAP) reconstruction algorithm. The proposed regularisation method has unique advantages of providing more informative and targeted denoising and regularisation based on the complementary structural connectivity information from dMRI.

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