YNIMG Journal 2026 Journal Article
Dose reduction for synaptic density PET imaging in Parkinson’s disease
- Andi Li
- Mika Naganawa
- Praveen Honhar
- Kathryn Fontaine
- Paul Gravel
- David Matuskey
- Richard E. Carson
- Jing Tang
OBJECTIVE: C-UCB-J enables in vivo quantification of synaptic vesicle glycoprotein 2A (SV2A), with prior reports of lower synaptic density in areas such as the brainstem nuclei and substantia nigra (SN) in Parkinson's disease (PD). Lowering PET dose reduces radiation exposure but increases noise and compromises quantification. This study evaluated a self-supervised two-step deep image prior (TS-DIP) denoising method for SV2A PET using 1/10 of the standard dose. METHODS: ) maps were estimated. Performance was assessed by comparing group differences and correlations with motor severity against full-count results. RESULTS: in SN (-39%, p = 0.003) and red nucleus (RN; -27%, p = 0.009) in PDs versus HCs. With 1/10-count data, SN differences remained significant, but RN differences were inconsistent. TS-DIP introduced minimal bias, restored statistical significance across all noise realizations, and improved recovery of correlations with motor scores (SN: r = -0.43 ± 0.02; RN: r = -0.42 ± 0.04) compared with those from unprocessed 1/10-count data. CONCLUSIONS: Dynamic SV2A PET imaging at substantially reduced doses is feasible when combined with advanced DL-based denoising techniques such as TS-DIP, supporting its potential for broader clinical application.