MAGNETOM Sola, MAGNETOM Altea, MAGNETOM Sola Fit
Siemens Medical Solutions USA, Inc. • Radiology • 09/13/2022
Device Purpose
The MAGNETOM Sola, Altea, and Sola Fit with syngo MR XA51A software are advanced magnetic resonance imaging systems designed to produce detailed anatomical and functional images for diagnosis and interventional guidance across various body regions. These systems incorporate new hardware like the myExam 3D Camera for patient positioning, and software innovations such as myExam_Autopilot for simplified workflows, Open Recon Framework for third-party algorithm integration, myExam Angio Advanced Assist for peripheral angiography, and Beat Sensor for cardiac triggering, all validated through non-clinical performance data.
Summary
The MAGNETOM Sola, MAGNETOM Altea, and MAGNETOM Sola Fit, operating with syngo MR XA51A software, are magnetic resonance diagnostic devices (MRDDs). Their purpose is to generate transverse, sagittal, coronal, and oblique cross-sectional images, spectroscopic images, and spectra, displaying the internal structure and function of the head, body, or extremities. These systems can also produce other physical parameters derived from the acquired data and may be used with contrast agents depending on the region of interest; the information obtained, when interpreted by a trained physician, aids in diagnosis, and the systems can also support imaging during interventional procedures using MR-compatible devices. These devices introduce several new and modified hardware and software components. Key hardware includes the myExam 3D Camera, designed to assist radiographers with patient positioning. Software enhancements feature myExam_Autopilot for simplified brain and knee MRI examinations by less experienced users, and the Open Recon Framework, which allows the application of container-based, FDA-cleared third-party reconstruction algorithms. Modified software includes myExam Angio Advanced Assist for improved planning and execution of peripheral angiography, and Beat Sensor Cardiac triggering, a pilot tone-based physiological triggering technique adapted for cardiac MRI. The performance and safety of these features were evaluated through non-clinical testing, including software verification, validation, and adherence to various IEC and NEMA standards.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the image quality and diagnostic confidence achieved with myExam_Autopilot for brain and knee examinations compare to scans manually optimized by experienced MRI technologists?; What specific safeguards or validation processes are in place within the Open Recon Framework to ensure the integrity and performance of imported third-party FDA-cleared reconstruction algorithms?; Can the Beat Sensor Cardiac triggering technology maintain reliable performance across a spectrum of cardiac conditions, such as arrhythmias or tachycardia, and how does it compare to conventional ECG-gating in these scenarios?; What is the learning curve associated with the myExam 3D Camera, and what quantifiable impact does it have on reducing patient setup time or improving positioning accuracy?; How does the myExam Angio Advanced Assist feature account for patient-specific variations in circulation time to optimize contrast bolus timing for multi-station peripheral angiography?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement
Learn how Parasoft automates IEC 62304 compliance testing →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.
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 SBOM, ML-BOM, HBOM, 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: SaaSBOM, CBOM, VDR/VEX. These may be present in the full FDA submission.
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