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petBrain is a novel pipeline designed for the fast, reliable, and standardized analysis of Alzheimer’s disease biomarkers. It enables end-to-end processing of amyloid-PET, tau-PET, and structural MRI using advanced deep learning algorithms. The pipeline simultaneously estimates amyloid (A), tau (T2), and neurodegeneration (N) biomarkers through established quantification frameworks such as Centiloid, Centaur, and HAVAs. As a result, petBrain provides outputs directly aligned with clinical and research standards.

Based on AI, it provides differential diagnosis between Parkinson’s disease (PD), Multiple System Atrophy (MSA), Progressive Supranuclear Palsy (PSP), and Dementia with Lewy Bodies (DLB).

Based on AI, it provides differential diagnosis between Cognitively heathly Normal aging (CN), Alzheimer’s disease (AD), behavioral variant Frontotemporal Dementia (bvFTD), Semantic Dementia (SD), Progressive Nonfluent Aphasia (PNFA), Progressive Supranuclear Palsy (PSP), and Dementia with Lewy Bodies (DLB).

Based on AI, it analyzes the whole thalamus (left and right) and their 13 nuclei from a T1w MRI.

Based on AI, it analyzes the cerebellum at ultra-high-resolution MRI (0.125 mm3) from a T1w MRI.

Based on AI, it provides age estimation and volume for each brain structure using a T1w MR image.

Based on AI, it provides differential diagnosis between Alzheimer's Disease and Frontotemporal Dementia.

Based on AI, it detect/predict Alzheimer’s Disease from a T1w MRI.

Based on AI, it provides white matter lesion segmentation from T1 and FLAIR images.