Swoop Point-of-Care Magnetic Resonance Imaging (POC MRI) Scanner System
Hyperfine, Inc. • Radiology • 11/17/2021
Device Purpose
The Swoop™ Point-of-Care MRI system provides portable, low-field (0.0686 T) magnetic resonance imaging of the brain for adult and pediatric patients (≥ 6 years) using T1-weighted, T2-weighted, and FLAIR sequences. This iteration introduces updated iterative image reconstruction algorithms, validated through non-clinical testing, aimed at enhancing image quality by reducing noise and artifacts for diagnostic support in settings where conventional MRI is impractical.
Summary
The Swoop™ Point-of-Care (POC) Magnetic Resonance Imaging (MRI) System by Hyperfine, Inc. is a portable device engineered to generate images depicting the internal structure of the human head. It is designed for use in scenarios where standard diagnostic brain examinations are not clinically practical or medically prudent, catering to both adult and pediatric patients aged six years and older. The system is intended for deployment at the point-of-care across diverse medical environments, including emergency rooms, critical care units, hospital and rehabilitation rooms, and within emergency transport vehicles, providing diagnostic information when images are interpreted by a trained physician. This MRI system operates using a 0.0686 Tesla permanent magnet and an iterative image reconstruction methodology to produce T1-weighted, T2-weighted, and FLAIR (Fluid-Attenuated Inversion Recovery) sequences of the brain. The device incorporates updated image reconstruction algorithms specifically aimed at improving image quality through the reduction of image noise and artifacts. These enhancements involve replacing a previous non-uniformity field correction method and normalizing image post-processing steps. Performance evaluations were conducted via non-clinical methods, including software verification and validation, phantom-based image quality assessments (including American College of Radiology phantoms), alongside biocompatibility, electrical safety, and electromagnetic compatibility testing.
AI Regulatory Concerns
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Device Metadata
Relevant Clinical Questions
- Q1. How does the image quality of the Swoop™ POC MRI, with its updated iterative reconstruction, specifically compare to its previous version and to standard high-field MRI for key diagnostic indicators in acute neurological conditions targeted by its intended use?; What are the quantifiable metrics (e.g., SNR, artifact levels) from phantom studies that demonstrate the improved image quality resulting from the new iterative image reconstruction algorithms for T1W, T2W, and FLAIR sequences?; Considering the 0.0686 Tesla field strength, what is the system's sensitivity and specificity for detecting common neurological pathologies of varying sizes and contrasts relevant to point-of-care scenarios?; What are the operational demands, including scan acquisition times for the standard sequences and post-processing duration, and how do these impact workflow efficiency in critical care or emergency settings?; Given the device's portability and use in diverse environments, what specific performance data validates its robustness against electromagnetic interference and its consistency in image acquisition across different point-of-care locations?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement
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Powered by SBOMator™Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.
Supply Chain BOM Evidence
Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.
Analysis:
• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.
• Evidence of ML-BOM, OBOM detected in AI-generated device summary.
• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.
• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.
• Not detected in AI-generated device summary: SBOM, SaaSBOM, HBOM, CBOM, VDR/VEX. These may be present in the full FDA submission.
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