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Event

Feindel Brain and Mind Seminar Series: Recovering Brain PET at Reduced Dose: Generative Models, Physics Constraints, and Quantitative Fidelity

Monday, May 25, 2026 13:00to14:00
De Grandpré Communications Centre, The Neuro

The Feindel Brain and Mind Seminar Series will advance the vision of Dr. William Feindel (1918–2014), Former Director of the Neuro (1972–1984), to constantly bridge the clinical and research realms. The talks will highlight the latest advances and discoveries in neuropsychology, cognitive neuroscience, and neuroimaging.

Speakers will include scientists from across The Neuro, as well as colleagues and collaborators locally and from around the world. The series is intended to provide a virtual forum for scientists and trainees to continue to foster interdisciplinary exchanges on the mechanisms, diagnosis and treatment of brain and cognitive disorders.


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Host: Udunna Anazodo


Recovering Brain PET at Reduced Dose: Generative Models, Physics Constraints, and
Quantitative Fidelity

Abstract: Brain Positron Emission Tomography (PET) measures molecular processes that structural imaging cannot capture, but its clinical and research utility is shaped by an inescapable trade-off between injected radioactivity and image quality. Lowering dose reduces radiation exposure, which is a priority for pediatric, longitudinal, and repeated-imaging settings, yet it also amplifies noise, blurs subtle regional contrast, and destabilizes the quantitative measures on which diagnosis and kinetic analysis depend. This talk presents research that reframes low-dose brain PET as a coupled signal recovery and quantification problem rather than a generic denoising task. The talk will trace the progression from SMART-PET, a self-similarity-aware generative adversarial framework that demonstrated diagnostic-quality recovery of [¹⁸F]FDG brain PET at 90% dose reduction across epilepsy, frontotemporal dementia, and healthy cohorts, to a current physics-guided generative framework that unifies low-count synthesis and dose recovery within a single scanner-aware architecture. Findings indicate that pairing patient-conditioned diffusion models with projector-based sinogram-space consistency improves quantitative fidelity and cross-scanner stability over image-domain methods alone, and that dual-pathway synthesis enables training on archives that lack raw sinogram data. Together, this work charts a path toward clinically usable low-dose brain PET that preserves not just appearance but measurement.

Confidence Raymond

PhD candidate, Multimodal Imaging of Neurodegenerative Diseases (MiND) Lab
The Neuro, 鶹ýվ

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