NeuroQuant is an AI-powered software tool that automatically processes MRI brain scans to identify and measure various brain structures and lesions. It generates detailed visual and quantitative reports, helping clinicians by automating the manual work of brain segmentation and volume measurement, thus supporting diagnosis and monitoring of neurological conditions.
NeuroQuant is intended for automatic labeling, visualization and volumetric quantification of segmentable brain structures from a set of MR images. It automates the manual process of identifying, labeling and quantifying brain volumes.
NeuroQuant is a fully automated MR post-processing software that uses an internal pipeline for artifact correction, atlas-based segmentation using a dynamic probabilistic neuroanatomical atlas, volume calculation, lesion quantification, and report generation. It includes automated quality control functions such as tissue contrast and atlas alignment checks, and supports DICOM file transfers for integration with clinical workflows.
Performance was validated by comparing NeuroQuant segmentations to expert manual segmentations and testing reproducibility on repeated scans. Dice coefficients for major brain structures ranged from 75% to 90%, lesion segmentation exceeded 80%, and volume differences were within clinically acceptable ranges, demonstrating accurate and reproducible results.
No predicate devices specified
Submission
4/3/2017
FDA Approval
9/7/2017
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