MAGNETOM Vida, MAGNETOM Sola, MAGNETOM Lumina, MAGNETOM Altea
Siemens Medical Solutions USA, Inc. • Radiology • 03/31/2021
Device Purpose
The MAGNETOM Vida, Sola, Lumina, and Altea MR systems with syngo MR XA31A software are designed to provide comprehensive diagnostic imaging and interventional capabilities by producing detailed anatomical and functional images. This is achieved through a combination of new hardware, such as specialized tables and coils, and advanced software features, including novel pulse sequences, AI-based image reconstruction algorithms, and automated workflow solutions for various clinical applications.
Summary
The Siemens MAGNETOM systems, including Vida, Sola, Lumina, and Altea, when upgraded with the syngo MR XA31A software, function as magnetic resonance diagnostic devices (MRDD). Their primary purpose is to generate various cross-sectional images (transverse, sagittal, coronal, oblique), spectroscopic images, and spectra of the head, body, or extremities. These outputs, interpretable by trained physicians, display internal structures and functions to assist in diagnosis, with the option of using contrast agents. The systems are also designed for imaging during interventional procedures when used with MR-compatible equipment. This iteration introduces a range of new and modified hardware and software components compared to its predicate device. Key hardware advancements include the Nexaris Dockable Table for intraoperative and interventional imaging, the Nexaris Head Frame, new coils such as the Nexaris Spine 36 and Flex Loop Large, a new computer system, and a modified Beat Sensor for contactless cardiac triggering. Software enhancements are extensive, featuring new pulse sequences like SVS_EDIT for acquiring two different spectra in a single sequence, BEAT_FQ_nav for navigator echo-based respiratory gating in 4D flow imaging, HASTE_interactive for interactive parameter changes, and GRE_WAVE for larger acceleration factors in 3D susceptibility-weighted imaging. Other notable software additions include the Prostate Dot Engine for assisted prostate imaging workflows, injector coupling for synchronized contrast injection, optimized high bandwidth inversion recovery pulses for myocardial tissue imaging, the AbsoluteShim procedure, Deep Resolve Sharp and Deep Resolve Gain algorithms for image enhancement using convolutional neural networks, and improved 3D ASL sequences providing relCBF and BAT maps. Non-clinical testing confirmed that these new and modified features perform as intended, demonstrating an equivalent safety and performance profile.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the performance of the 'Beat Sensor' for contactless cardiac triggering compare to traditional ECG/pulse triggers in patients with arrhythmias or weak peripheral pulses?; What is the quantifiable impact of the 'Prostate Dot Engine' on scan time reduction and consistency of image quality for prostate MRI across different operators?; Can the 'Deep Resolve Sharp' and 'Deep Resolve Gain' algorithms maintain diagnostic accuracy while significantly reducing acquisition times, and how do they perform with low signal-to-noise ratio data?; What specific advantages does the 'GRE_WAVE' pulse sequence offer for 3D susceptibility-weighted imaging in terms of resolution and artifact reduction compared to standard GRE sequences?; How does the integration of the 'Nexaris Dockable Table' affect patient throughput and safety protocols in a hybrid intraoperative MRI setting?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class C (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 SBOM, ML-BOM, SaaSBOM, HBOM 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: CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.
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