MRIQA provides continuous MRI quality monitoring by combining traditional phantom validation with analytics of real patient scan series. The platform detects hidden scanner drift, protocol inefficiencies, and artifacts that standard phantom tests miss, and delivers sequence‑specific quality scores plus prioritized recommendations for physicists and radiology leadership.
Funding
Funding not disclosed
Founders
Product
Problem
Standard MRI quality assurance relies on periodic phantom scans that evaluate scanner performance under controlled conditions, missing variations that occur during actual patient imaging. This can lead to undetected drift, protocol-specific artifacts, and coil degradation that degrade clinical image quality before they are identified.
Solution
MRIQA augments traditional phantom QA with continuous analytics of real patient series, providing a comprehensive view of scanner performance in clinical use. The platform automatically extracts image quality metrics from each patient scan, classifies sequences, and compares results against sequence-specific baselines. It detects subtle drift, protocol inefficiencies, and artifacts such as ghosting that are invisible to phantom tests. MRIQA then generates prioritized, protocol‑specific recommendations (high, medium, low) to guide corrective actions. The system also automates ACR metric extraction and produces longitudinal trend reports ready for accreditation review, enabling physicists and radiology managers to address issues before they affect patient care.
Target Audience
Primary users are medical physicists responsible for MRI quality assurance and radiology leadership seeking data‑driven oversight of scanner performance across clinical protocols.
Features
- Continuous, patient‑series quality scoring that is aware of scan sequence type and benchmarks against sequence‑specific baselines
- Automated detection of hidden scanner drift, coil/channel degradation, and artifacts such as ghosting that exceed ACR phantom thresholds
- Prioritized recommendation engine delivering high/medium/low action items tailored to each protocol
- Integrated phantom validation module that extracts ACR metrics and compiles accreditation‑ready reports with physicist sign‑off
- Longitudinal trend analytics dashboard for tracking quality metrics over time and identifying silent performance degradation