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uWS-MR

Shanghai United Imaging Healthcare Co., Ltd • Radiology • 06/01/2020

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

The uWS-MR is an advanced software solution designed for comprehensive post-processing, review, and analysis of Magnetic Resonance Imaging studies, featuring enhanced capabilities for MR cardiac analysis and neurological imaging. It employs diverse algorithms for image manipulation, quantitative evaluation, and visualization across specialized applications like spectroscopy, perfusion, and vessel analysis to support clinical interpretation and evaluation of examinations.

Summary

The uWS-MR system is a comprehensive software solution designed for processing, reviewing, and analyzing Magnetic Resonance Imaging (MRI) studies. It functions either as a standalone Software as a Medical Device (SaMD) or as a post-processing application option for compatible UIH MR scanners. The software handles DICOM 3.0 images from networks or external storage, supporting both functional and anatomical datasets, including time-series data. It offers various display formats, such as MIP and volume rendering, and statistical analysis tools for user-defined regions of interest, facilitating image interpretation by trained physicians. This particular update focuses on modifications to the 'United Neuro' application and the introduction of a new 'MR Cardiac Analysis' application. The uWS-MR software provides a suite of specialized applications for detailed image analysis. These include MR Stitching for creating full-format images from overlapping volumes, a Dynamic application for time-course studies, Image Fusion for aligning different image series, and MR Spectroscopy (MRS) for evaluating cell metabolism. Additional tools cover MAPs for arithmetic/statistical functions on grayscale values, MR Breast Evaluation for parameter maps from contrast-enhanced images, Brain Perfusion for visualizing dynamic susceptibility changes, MR Vessel Analysis, Inner View for virtual endoscopy, and DCE analysis for dynamic contrast-enhanced MRI. The enhanced United Neuro application aids in evaluating MR neurological images, now with MR Segmentation, while the new MR Cardiac Analysis application is intended for viewing, post-processing, and quantitative evaluation of cardiac MRI data, including cardiac function and flow analysis.

AI Regulatory Concerns

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Keywords

Magnetic Resonance Imaging (MRI)Image Post-Processing SoftwareDICOMMR Spectroscopy (MRS)MR Cardiac AnalysisMR Neurological ImagingImage FusionMR Vessel AnalysisQuantitative Image AnalysisDynamic Contrast-Enhanced (DCE) MRI

Device Metadata

Submission Number
K192601
Company
Shanghai United Imaging Healthcare Co., Ltd
Panel
Radiology
Product Code
N/A
Data Type
Images
Clinical Function
Assessment
AI Function
Analysis
AI Subclass
quantification/feature localization

Relevant Clinical Questions

  • Q1. Regarding the new MR Cardiac Analysis application, what specific quantitative metrics (e.g., ejection fraction, stroke volume, myocardial mass) are automatically calculated, and what is the reported accuracy and reproducibility compared to manual analysis or other validated software?; For the "United Neuro" application, how does the software handle challenges in fMRI analysis such as motion artifacts, physiological noise, and inter-subject variability in BOLD signal response, and what statistical models are supported for activation mapping?; What are the specific algorithms used for tissue segmentation in the MR Breast Evaluation and MR Cardiac Analysis modules, and how have they been validated for accuracy across diverse patient populations and image qualities?; How does the "Image Fusion" application quantify the accuracy of registration between different MR sequences or, if applicable, with other imaging modalities, and what tools are provided for manual correction of misalignments?; What is the typical processing time for complex analyses like Brain Perfusion or multi-parametric MR Cardiac Analysis on standard clinical workstations, and are there options for batch processing?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement

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Cybersecurity Evidence

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.

Cyber Score10/100
SBOM Evidence⚠ Not mentioned in summary
Cyber Risk Assessment⚠ Not mentioned in summary
Postmarket Plan⚠ Not mentioned in summary
§524B ApplicableNo

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials
- Not detected
ML-BOMMachine Learning Bill of Materials(algorithm, dataset)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials(network)
✓ Detected
HBOMHardware Bill of Materials
- Not detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials
- Not detected

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, SaaSBOM 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, HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.

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uWS-MR - Shanghai United Imaging Healthcare Co., Ltd | ESL FDA AI Device Intelligence