Know Your Scanner Is Performing — For Every Patient, Every Day

Know Your Scanner Is Performing — For Every Patient, Every Day
MRIQA extends ACR phantom QA into continuous, patient-specific MRI quality intelligence — detecting drift, reducing repeat scans, and supporting accreditation between testing cycles.
Pilot-validated on 30 ACR phantom analyses and 100 de-identified GE clinical MRI series on the GE Signa HDxt 1.5T.
SpinTecx LLCMRIQA PlatformPilot: GE Signa HDxt 1.5T · June 2026
Pilot Results: What We Found
A single-scanner pilot on the GE Signa HDxt 1.5T revealed quality gaps invisible to standard ACR phantom testing.
100
GE Patient Series Analyzed
30
ACR Phantom Analyses
86%
Opportunities for Quality Optimization
574
Actionable Recommendations
69×
Patient Ghosting vs. Phantom PSG
Pilot Validation Summary
MRIQA was validated on a real clinical MRI system using de-identified DICOM series and ACR phantom acquisitions — not simulated or synthetic datasets.
Scanner Platform
GE Signa HDxt 1.5T — a widely deployed clinical 1.5T system representative of community hospital and outpatient imaging center fleets.
Dataset
100 de-identified DICOM series (patient QA) + 30 ACR phantom analyses. All patient data de-identified prior to ingestion.
Metrics Analyzed
Brain SNR, GM/WM CNR, Ghosting %, Motion Index, Percent Image Uniformity (PIU), Coil-channel SNR, and sequence-level protocol parameters.
Output Generated
574 prioritized recommendations across HIGH, MEDIUM, and LOW tiers. 86% of patient series flagged with at least one optimization opportunity.
Pilot conducted by SpinTecx LLC. Results reflect performance on a single scanner. Multi-scanner and multi-site validation is ongoing.
The Gap in Standard MRI Quality Assurance
ACR phantom QA confirms a scanner can perform under controlled conditions. It cannot confirm how it performs — every day, for every patient, across every clinical sequence.
⚡ Silent Quality Drift
Scanner metrics degrade gradually between accreditation cycles with no automated alert — until a patient scan is affected.
⚡ Invisible Protocol Drift
Acquisition parameters shift across technologists, software updates, and coil changes — undetected by periodic phantom testing.
⚡ Single-Scenario Testing
Phantom QA uses a controlled object. Real patients introduce anatomy variability, motion, and sequence complexity that phantoms cannot replicate.
⚡ Coil & Channel Degradation
Progressive hardware degradation may develop and affect clinical image quality before standard phantom QA metrics reflect meaningful changes.
Why MRIQA Is Different
Standard ACR phantom QA is necessary — but not sufficient. MRIQA adds the continuous, patient-specific layer that phantom testing cannot provide.
MRIQA is designed to complement, not replace, ACR phantom QA. Both are required components of a complete MRI quality program.
MRIQA creates a longitudinal MRI quality dataset enabling predictive quality analytics and future AI-driven protocol optimization.
SpinTecx's proprietary longitudinal QA architecture links phantom-derived baseline performance with patient-specific quality intelligence.
Pilot Finding: Phantom QA Misses Real-World Patient Artifacts
Ghosting 69× Higher in Patients Than in Phantom
Phantom PSG: 0.055% — 100% ACR pass rate. Mean patient ghosting: 3.82% — 69× higher than the phantom value. MPRAGE sequences showed a mean ghosting of 10.95% — 199× the phantom PSG.
These clinically significant artifacts are not captured by standard ACR phantom testing. MRIQA's patient-specific analysis surfaces sequence-level ghosting patterns that require protocol or setup intervention.
Standard ACR phantom testing does not detect real-world patient ghosting at this magnitude. These findings do not imply FDA clearance or clinical diagnostic use.
Pilot Finding: Catching Drift Before It Becomes a Problem
PIU Dropped Below ACR Threshold — Detected and Documented
Percent Image Uniformity (PIU) dropped to 82–83% in March 2026 — below the ACR 87.5% pass threshold. MRIQA's longitudinal tracking captured the transient deviation and confirmed recovery following corrective maintenance.
Without continuous monitoring, this deviation would have gone undetected between scheduled phantom QA sessions — representing a period of unverified scanner performance during active clinical use.
ACR pass threshold: 87.5% PIU. MRIQA detected the drop and confirmed recovery. No scientific values have been altered.
The MRIQA Platform: End-to-End Quality Intelligence
A fully integrated pipeline — from phantom upload and patient DICOM analysis to accreditation-ready reporting and prioritized clinical recommendations. All patient data is de-identified prior to analysis.
Phantom QA Module
Automated ACR metric extraction, longitudinal drift trending, threshold alerts, physicist sign-off workflow, and accreditation-ready PDF reports.
Patient QA Module
De-identified DICOM ingestion, sequence auto-classification, anatomy-specific ROI extraction, and image quality scoring — Brain SNR, GM/WM CNR, Ghosting %, and Motion Index.
Recommendation Engine
Prioritized, protocol-specific recommendations — HIGH, MEDIUM, and LOW — automatically generated from patient series analysis. 574 recommendations derived from 100 GE pilot studies.
Who MRIQA Is Built For
MRIQA serves every stakeholder in the MRI quality ecosystem — from the physicist running weekly QA to the radiology leader managing enterprise imaging performance.
Medical Physicists
Automate ACR metric extraction and longitudinal trending. Receive drift alerts between scheduled QA sessions. Generate accreditation-ready reports with physicist sign-off built in.
Radiology Directors
Monitor fleet-wide scanner performance from a single dashboard. Identify protocol inconsistencies across technologists and shifts. Reduce repeat scans and support department-level quality programs.
Accreditation Teams
Maintain continuous documentation of scanner performance between ACR accreditation cycles. Demonstrate proactive quality management with audit-ready trend data and corrective action records.
Service Engineers & Biomedical Staff
Detect early hardware degradation signals — coil performance, channel dropout, SNR trends — before they escalate to service events. Enable earlier, targeted intervention.
Built to Scale: Multi-Scanner & Multi-Site Deployment
MRIQA is architected for enterprise imaging operations — from a single community scanner to a regional health system fleet.
Single Scanner Pilot
Deploy on one MRI system. Validate phantom QA automation, patient series analysis, and recommendation output within your existing workflow.
Multi-Scanner Department
Expand across all MRI systems in a department. Unified dashboard shows fleet-wide status, comparative performance, and cross-scanner drift trends.
Multi-Site Health System
Deploy across imaging sites within a health system. Centralized quality oversight, standardized protocols, and system-level accreditation documentation.
Enterprise & IDN Scale
Support integrated delivery networks and enterprise imaging programs. Aggregate quality intelligence across vendors, field strengths, and geographic locations.
1.5T validated · 3T expansion underway

Multi-vendor roadmap: GE · Siemens · Philips

PACS-compatible
No workflow disruption
Current Development Status
MRIQA is a validated working platform with active pilot deployment capability — not a concept. Pilot validation is complete and expansion is underway.
Pilot Validated ✓
Initial validation complete on GE Signa HDxt 1.5T with 100 de-identified patient series and 30 ACR phantom analyses.
Production Platform ✓
MRIQA is currently operating as a validated working platform with pilot deployment capability.
Multi-Site Expansion →
Additional validation partners and multi-scanner pilots are in progress.
Regulatory Strategy
MRIQA is a QA support platform. Regulatory pathways for future quality decision-support expansion are under evaluation.
Clinical & Economic Value
MRIQA delivers measurable impact across quality, operations, and cost — without disrupting existing workflows.
Clinical Value
Detect scanner drift between accreditation cycles — before it affects patient images
Reduce repeat scans caused by undetected protocol or hardware issues
Improve protocol consistency across technologists, shifts, and scanner generations
Support ACR accreditation with continuous, audit-ready documentation
Identify sequence-specific ghosting and motion artifacts invisible to phantom QA
Economic Value
Enable earlier service intervention — reducing unplanned downtime and emergency service calls
Improve scanner utilization by identifying underperforming sequences before scheduling impact
Reduce cost of repeat imaging through proactive protocol optimization
Extend scanner lifecycle with continuous hardware performance monitoring
Demonstrate quality program ROI to hospital leadership and payers
End-to-End Quality Pipeline
MRIQA connects every stage of MRI quality assurance into a single continuous workflow — from phantom upload through to accreditation-ready documentation and actionable clinical recommendations.
MRIQA in Action: QA Dashboard & Trend Analysis
Multi-scanner fleet status, ACR accreditation alerts, next QA due dates, and longitudinal PIU trend tracking — all in one view.
MRIQA in Action: Prioritized Recommendations
Every patient series generates protocol-specific, prioritized recommendations with clinical rationale — automatically. From the GE Signa HDxt 1.5T pilot, 574 recommendations were generated across 100 series.
HIGH Priority
Immediate action required. Example: MPRAGE ghosting at 10.95% — 199× phantom baseline. Recommend evaluating patient preparation protocol, cardiac gating, and sequence trigger settings.
MEDIUM Priority
Protocol optimization opportunity. Example: Brain SNR 15% below sequence benchmark across 3 technologists. Recommend coil positioning audit and protocol parameter review.
LOW Priority
Preventive maintenance guidance. Example: Gradual SNR decline trend detected over 6 weeks. Schedule preventive coil inspection at next available service window.
Privacy & Data Security by Design
MRIQA is built for healthcare environments where patient privacy is non-negotiable.
De-Identification First
All DICOM data is de-identified prior to analysis. MRIQA is designed to process de-identified DICOM datasets and minimize PHI handling within institutional workflows.
Quantitative Image Quality Analysis
MRIQA analyzes image quality metrics — SNR, CNR, ghosting, motion — derived from quantitative pixel analysis and DICOM metadata. No diagnostic interpretation is performed.
Designed for Institutional Deployment
MRIQA is designed to integrate with existing hospital IT and PACS infrastructure. Data governance, access controls, and audit logging are built into the platform architecture.
MRIQA is a quality assurance support tool. It is not intended for diagnostic use and does not imply FDA clearance.
See What Your Scanner Is Really Doing
"MRIQA extends ACR phantom QA into continuous, patient-specific MRI quality intelligence — supporting accreditation, protocol optimization, and proactive hardware monitoring across your imaging fleet."
The MRIQA pilot on the GE Signa HDxt 1.5T demonstrated that phantom QA alone leaves critical quality gaps. With 86% of series showing optimization opportunities and 574 actionable recommendations generated from 100 patient series, MRIQA delivers the continuous quality intelligence that modern MRI programs require.
SpinTecx LLCMRIQA PlatformPilot: GE Signa HDxt 1.5T · June 2026
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contact@spintecx.com · spintecx.com · Schedule a pilot consultation
MRIQA is a quality assurance support platform and is not intended for diagnostic interpretation.
SpinTecx LLC | MRI Quality Intelligence Platform