MAGNETOM Terra; MAGNETOM Terra.X
Siemens Medical Solutions USA, Inc. • Radiology • 03/22/2024
Device Purpose
The MAGNETOM Terra and Terra.X systems, equipped with syngo MR XA60A software, are 7 Tesla magnetic resonance diagnostic devices designed to produce high-resolution anatomical, functional, Sodium, and Phosphorus spectroscopic images of the head, extremities, and whole body (excluding the head for Phosphorus spectroscopy). These systems leverage advanced hardware, including an 8Tx32Rx Head coil and upgraded gradients, in conjunction with innovative software incorporating parallel transmit technology, deep learning-based image reconstruction, compressed sensing, and novel pulse sequences to enhance image quality, reduce acquisition times, and broaden diagnostic capabilities.
Summary
The MAGNETOM Terra and MAGNETOM Terra.X are 7 Tesla (7T) magnetic resonance diagnostic devices (MRDD) utilizing the new syngo MR XA60A software. Their primary purpose is to generate transverse, sagittal, coronal, and oblique cross-sectional images, displaying internal structures and functions of the head and extremities. Additionally, these systems are designed to produce Sodium (23Na) images of the head and Phosphorus (31P) spectroscopic images and spectra for the whole body (excluding the head), to aid physicians in diagnosis. The update includes new and modified hardware components such as an 8Tx32Rx Head coil designed for 8-channel parallel transmit (pTx) mode, an 8Tx-1Tx Combiner Interface, MC-PALI for RF power monitoring, an upgraded Gradient Power Amplifier (GPA) for increased gradient performance, new host and MaRS computers, and a new shim cabinet (ASC5). Technologically, the systems introduce significant advancements aimed at improving image quality, reducing scan times, and expanding clinical applications. Key methodologies include parallel transmit (pTx) technology with static B1 shimming, enabled by the new 8Tx32Rx Head coil, to enhance B1 transmit homogeneity and contrast, particularly in brain imaging. The syngo MR XA60A software incorporates several deep learning-based algorithms: Deep Resolve Boost for k-space raw data reconstruction (2D TSE), Deep Resolve Gain for targeted denoising and SNR improvement, Deep Resolve Sharp for increased perceived image sharpness, and Deep RxE (Bias field correction) for reducing residual B1 inhomogeneities. New pulse sequences such as BEAT (Time-Of-Flight MRA with Compressed Sensing), BLADE diffusion (multi-shot diffusion weighted imaging), PETRA (low acoustic noise), and TSE_DIXON are introduced, alongside expanded Compressed Sensing (CS) functionality for SPACE and TFL sequences. These innovations collectively aim to improve diagnostic information, enhance image quality metrics like SNR and sharpness, reduce scan duration, and support advanced research capabilities through features like the IDEA and Scientific Suite.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the performance of the deep learning algorithms (Deep Resolve Boost, Sharp, Gain, Deep RxE) quantitatively compare against traditional reconstruction methods for critical diagnostic tasks across different anatomical regions imaged by the MAGNETOM Terra/Terra.X 7T systems?; What are the specific benefits and potential limitations of the new 8Tx32Rx Head coil in conjunction with 8-channel parallel transmit (pTx) and B1 shimming for ultra-high field imaging, particularly concerning SAR management, image uniformity, and patient comfort in diverse clinical populations?; How do the new pulse sequences (e.g., BEAT, BLADE diffusion, PETRA, TSE_DIXON) available on the 7T platform specifically enhance diagnostic capabilities for challenging clinical indications, such as neurovascular diseases, musculoskeletal disorders, or metabolic assessments, compared to existing sequences on lower field strength MRI systems or the predicate 7T device?; What is the measurable impact of the upgraded Gradient Power Amplifier (GPA) and the new ASC5 shim cabinet on overall image quality, particularly for demanding applications like high-resolution diffusion imaging, functional MRI, or rapid volumetric acquisitions at 7T?; Considering the introduction of tools like IDEA and the Scientific Suite, what are the practical implications for accelerating the development and clinical translation of novel MR imaging techniques and quantitative biomarkers using the MAGNETOM Terra/Terra.X systems?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Post-§524B but no clear network capability detected
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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, SaaSBOM, HBOM detected in AI-generated device summary.
• SBOM not mentioned in AI-generated device summary. Under §524B (effective Oct 2023), cyber devices must provide a SBOM.
• Cybersecurity risk assessment not referenced in AI-generated device summary. FDA cybersecurity guidance (2023) expects this for cyber devices.
• Not detected in AI-generated device summary: SBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.
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