petBrain
petBrain is a pipeline of processes aimed to automatically analyze MRI and PET brain data. It gets an anonymized MRI and PET brain volumes in NIFTI format and produces a pdf report with A/T/N patient's status.
A/T/N model
petBrain is a novel web-based platform 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 platform simultaneously estimates amyloid (A), tau (T2), and neurodegeneration (N) biomarkers through established quantification frameworks such as Centiloid, Centaur, and HAVAs. With no need for local software installation or technical expertise, petBrain delivers results comparable to leading pipelines and demonstrates strong agreement with fluid biomarkers, clinical status, and cognitive performance. It offers a powerful solution for clinical research and biomarker-based patient stratification in Alzheimer’s disease.
Report
Once processing is complete, you will receive an email notification allowing you to download a results package containing image files and two reports in CSV and PDF formats. These reports provide a comprehensive overview of the A/T/N biomarker status and volumetric measurements derived from the segmentations. The PDF report includes patient information and A/T/N classifications based on thresholds defined by the AMYPAD initiative, the CenTauR project, and HAVAs. It also details the volumes of brain parenchyma, tissues, macrostructures, and 132 labeled brain regions, along with asymmetry indices. In addition, the report features visual snapshots of the key processing steps for A/T/N estimation and anatomical segmentation, offering an integrated quality control view.
On the provided example, you can find a subject clinically diagnosed with Alzheimer's Disease (AD) and classified as A+ by the ADNI consortium. The output of petBrain confirmed the A+ status and estimated T+ and N+ statuses for complementary biomarkers.
References
P. Coupé, B. Mansencal, F. Morandat, S. Morell-Ortega, J V. Manjon, N. Villain, V. Planche, petBrain: A New Pipeline for Amyloid, Tau Tangles and Neurodegeneration Quantification Using PET and MRI, To appear. PDF
P. Coupé, J. V. Manjón, B. Mansencal, T. Tourdias, G. Catheline, V. Planche. Hippocampal-amygdalo-ventricular atrophy score: Alzheimer disease detection using normative and pathological lifespan models. Human Brain Mapping 43, no. 10 (2022): 3270-3282. PDF
P. Coupé, B. Mansencal, M. Clément, R. Giraud, B. Denis de Senneville, V.-T Ta, V. Lepetit, J. V. Manjon. AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation. NeuroImage, 219, 117026, 2020. PDF
de Senneville, B.D., Manjon, J.V. and Coupé, P., 2020. RegQCNET: Deep quality control for image-to-template brain MRI affine registration. Physics in Medicine & Biology, 65(22), p.225022. PDF