BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20260507T200626EDT-8350hm8Jjs@132.216.98.100 DTSTAMP:20260508T000626Z DESCRIPTION:The Feindel Brain and Mind Seminar Series will advance the visi on 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\, co gnitive neuroscience\, and neuroimaging.\n\nSpeakers will include scientis ts from across The Neuro\, as well as colleagues and collaborators locally and from around the world. The series is intended to provide a virtual fo rum for scientists and trainees to continue to foster interdisciplinary ex changes on the mechanisms\, diagnosis and treatment of brain and cognitive disorders.\n\n\nRegister for In-Person\n\nTo watch online\, click here\n \nHost: Udunna Anazodo\n\n\nRecovering Brain PET at Reduced Dose: Generati ve Models\, Physics Constraints\, and\n Quantitative Fidelity\n\nAbstract: 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 prior ity for pediatric\, longitudinal\, and repeated-imaging settings\, yet it also amplifies noise\, blurs subtle regional contrast\, and destabilizes t he quantitative measures on which diagnosis and kinetic analysis depend. T his talk presents research that reframes low-dose brain PET as a coupled s ignal recovery and quantification problem rather than a generic denoising task. The talk will trace the progression from SMART-PET\, a self-similari ty-aware generative adversarial framework that demonstrated diagnostic-qua lity recovery of [¹⁸F]FDG brain PET at 90% dose reduction across epilepsy\ , frontotemporal dementia\, and healthy cohorts\, to a current physics-gui ded generative framework that unifies low-count synthesis and dose recover y within a single scanner-aware architecture. Findings indicate that pairi ng patient-conditioned diffusion models with projector-based sinogram-spac e consistency improves quantitative fidelity and cross-scanner stability o ver image-domain methods alone\, and that dual-pathway synthesis enables t raining on archives that lack raw sinogram data. Together\, this work char ts a path toward clinically usable low-dose brain PET that preserves not j ust appearance but measurement.\n\nConfidence Raymond\n\nPhD candidate\, M ultimodal Imaging of Neurodegenerative Diseases (MiND) Lab\n The Neuro\, Mc Gill University\n DTSTART:20260525T170000Z DTEND:20260525T180000Z LOCATION:De Grandpré Communications Centre\, The Neuro SUMMARY:Feindel Brain and Mind Seminar Series: Recovering Brain PET at Redu ced Dose: Generative Models\, Physics Constraints\, and Quantitative Fidel ity URL:/spot/channels/event/feindel-brain-and-mind-semina r-series-recovering-brain-pet-reduced-dose-generative-models-physics-37285 7 END:VEVENT END:VCALENDAR