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Abstract #1291

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

Zhuopin Sun1, Georgios Angelis1,2, Steve Meikle3,4, and Fernando Calamante1,4,5
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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Keywords