Components
NiChart is designed to integrate independent image processing and analysis pipelines. The following sections detail these pipelines.
Current Pipelines
These pipelines are currently active and accessible within the NiChart Project
1. sMRI Biomarkers of Disease and Aging
Neuroimaging pipeline for computing AI biomarkers of disease and aging from T1-weighted MRI scans. The pipeline applies the following steps for processign and analysis.
Segmentation
DLMUSE: Rapid and accurate brain anatomy segmentation
Harmonization
COMBAT: Statistical data harmonization of ROI volumes to reference data
Supervised ML Biomarkers
SPARE-AD and SPARE-Age indices: AI biomarkers of Alzheimer’s Disease and Aging related brain atrophy patterns
SPARE-CVR indices: AI biomarkers of brain atrophy patterns associated with Cardio-Vascular Risk Factors
Semi-supervised ML Biomarkers
SurrealGAN indices: Data-driven phenotyping of brain aging, 5 Brain Aging Subtypes
2. WM Lesion Segmentation
Neuroimaging pipeline for segmenting white matter lesions on FLAIR MRI scans.
DLWMLS: Rapid and accurate white matter lesion segmentation
Under Development
These pipelines are planned for integration in future NiChart releases.