NiChart is a novel AI-powered neuroimaging platform with tools for computing a dimensional chart from multi-modal MRI data. NiChart provides end-to-end pipelines from raw DICOM data to advanced AI biomarkers, allowing to map a subject’s MRI images into personalized measurements, along with reference distributions for comparison to a broader population.
The development of nichart is guided by several core principles:
- Enabling near real-time image processing and analysis through advanced methods.
- Facilitating the continuous integration of cutting-edge methods for extracting novel AI biomarkers from neuroimaging data.
- Ensuring robust and reliable results through extensive data training and validation on large and diverse training datasets.
- Providing user-friendly tools for visualization and reporting.
- Developing a deployment strategy that enables easy access for users with varying technical expertise and hardware resources.
We provide both a locally installable desktop application and a cloud-based application.
For the desktop application please see NiChart GitHub.
NiChart cloud application, hosted via Amazon Web Services (AWS), deploys scalable infrastructure which hosts the NiChart tools as a standard web application accessible via the user’s web browser.
The cloud and desktop applications are unified at the code level through the use of the Python library Streamlit. Consequently, the user experience is nearly identical between the cloud and desktop applications.
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