Technology | Magnetic Resonance Imaging (MRI) | October 12, 2017

FDA Clears First 7T MRI System, Magnetom Terra

Device is the first 7T MRI cleared for clinical use in the United States

FDA Clears Siemens Magnetom Terra 7T MRI Device

FDA Clears Siemens Magnetom Terra 7T MRI Device

FDA Clears Siemens Magnetom Terra 7T MRI Device
FDA Clears Siemens Magnetom Terra 7T MRI Device

October 12, 2017 — The U.S. Food and Drug Administration (FDA) cleared the first 7 Tesla (7T) magnetic resonance imaging (MRI) device, more than doubling the static magnetic field strength available for use in the United States. The Magnetom Terra from Siemens Healthineers is the first 7T MRI system cleared for clinical use in the United States.

“The overall image quality of MRI improves with higher magnetic field strength,” said Robert Ochs, Ph.D., director of the Division of Radiological Health in the FDA’s Center for Devices and Radiological Health. “The added field strength allows for better visualization of smaller structures and subtle pathologies that may improve disease diagnosis.”

MRI scanners use strong magnetic fields and radio waves (radiofrequency energy) to generate images. The signal comes mainly from the protons in fat and water molecules in the body. When interpreted by a trained physician, images from an MRI scan provide information that may be useful in determining a diagnosis. MRI scanners come in different magnet field strengths measured in tesla or “T.” Before today’s clearance, clinical MRI systems were available in field strengths of 3T and below.

The FDA reviewed the Magnetom Terra through the 510(k) premarket clearance pathway. The FDA based its clearance on comparison to a predicate device and acquisition of sample clinical images. The agency reviewed the safety of the radiofrequency subsystem through computational modeling, simulations and rigorous experimental validation. The manufacturer also provided data from a comparative study of 35 healthy patients that compared images of the patients using the 7T device and images using the 3T device. Board-certified radiologists reviewed the images and confirmed that the images acquired on the 7T device were of diagnostic quality and, in some cases, an improvement over imaging at the 3T.

This advanced ultra-high-field scanner produces cross-sectional images of the head and knee, and is intended for patients over 66 lbs. The system’s neurological and musculoskeletal (MSK) applications have the potential to help physicians achieve unprecedented breakthroughs in clinical care by revealing functional and anatomical details not visible at lower magnet field strengths.

The ultra-high-field scanner is indicated for patients who weigh more than 66 pounds and is limited to examinations of the head, arms and legs (extremities).

Siemens said the system’s neurological and musculoskeletal (MSK) applications have the potential to help physicians achieve unprecedented breakthroughs in clinical care by revealing functional and anatomical details not visible at lower magnet field strengths. 

The system has a unique dual mode feature, which permits the user to switch for the first time ever between an investigational “research mode” and a 510(k)-cleared “clinical mode” for imaging, while keeping research data and clinical images safe on separate databases, respectively. The scanner delivers superior images with up to 64 receive channels and more than twice the signal-to-noise (SNR) ratio of 3T MRI in optimized 7T neuro and MSK clinical applications. Its 80/200 gradients provide high levels of power to not only perform diffusion MRI and functional MRI (fMRI), but also to utilize the company’s Simultaneous Multi-Slice (SMS) application to accelerate advanced neurological applications for clinical routine. Its ultrafine 0.2 mm in-plane anatomical resolution potentially enables visualization of previously unseen anatomical structures.

For example, cerebral cortex imaging at 0.2 mm in-plane resolution may yield never-before-visible clinical details in cortical structure, Siemens said. The scanner’s submillimeter BOLD fMRI contrast increases linearly with field strength, which may translate in clinical use to higher resolution in neuro imaging compared to 3T applications.

The scanner has two coils optimized for clinical neuro and knee imaging. The MRI scanner leverages the syngo MR E11 software platform from Siemens Healthineers, enabling users to work in the same manner as they would with the company’s 1.5T and 3T technology. The Magnetom Terra also features the hyper-fast image reconstruction technology of the MaRS (Measurement and Reconstruction System) computer, for speeds up to 20 times faster than previous generations of 7T research scanners. 

Siemens said the system has the ability to expand research capabilities, giving research centers a competitive edge and to support reputations as a key opinion leader. Currently, the vendor said more than 65 percent of 7T MRI scanners worldwide are from Siemens. In the United States, six hospitals have installed Siemens 7T systems for research purposes

Siemens said the 7T system is designed for fast installation in clinical environments and will enable reduced operating costs thanks to design that has zero helium boil-off. 

“With the Magnetom Terra 7T scanner, Siemens Healthineers proudly introduces the first MRI field strength above 3T to be cleared for clinical imaging in nearly 20 years,” said Christoph Zindel, M.D., senior vice president and head of magnetic resonance at Siemens Healthineers. “Armed with the Magnetom Terra’s ultra-high-field strength, clinicians may be able to achieve new, unforeseen levels of patient care and clinical advancements through improved visualization of a wide variety of neurological disease states.”

For more information: https://usa.healthcare.siemens.com/magnetic-resonance-imaging/7t-mri-scanner/magnetom-terra/features#02161187_EN_US

 

Related MRI Systems content:

Watch the VIDEO Magnetic Resonance Imaging (MRI) Technology Report from RSNA 2016

Recent Advances in MRI Technology

MRI Systems Comparison Chart (will need to create a free login)

GE Healthcare Partners With Tesla Engineering to Produce Ultra High-Field 7T MRI Systems

University of Iowa Selects GE 7T MRI to collaborate on Research into Brain Disorders

 

Related Content

Henry Ford Hospital's ViewRay MRIdian linear accelerator system allows real-time MRI-guided radiotherapy. Shown is the support staff for this system. In the center of the photo is Benjamin Movsas, M.D., chair of radiation oncology at Henry Ford Cancer Institute. Second from the right is Carrie Glide-Hurst, Ph.D., director of translational research, radiation oncology.

Henry Ford Hospital's ViewRay MRIdian linear accelerator system allows real-time MRI-guided radiotherapy. Shown is the support staff for this system. In the center of the photo is Benjamin Movsas, M.D., chair of radiation oncology at Henry Ford Cancer Institute. Second from the right is Carri Glide-Hurst, Ph.D., director of translational research, radiation oncology.

Feature | Henry Ford Hospital | May 21, 2019 | Dave Fornell, Editor
Henry Ford Hospital thought leaders regularly speak at the radiation oncology and radiology conferences about new res
Videos | Radiation Therapy | May 21, 2019
This is a walk through of the ViewRay MRIdian MRI-guided radiotherapy system installed at ...
360 Photos | Magnetic Resonance Imaging (MRI) | May 17, 2019
This is a dedicated cardiac Siemens 1.5T MRI system installed at the Baylor Scott White Heart Hospital in Dallas.
Miami Cardiac and Vascular Institute Implements Philips Ingenia Ambition X 1.5T MRI
News | Magnetic Resonance Imaging (MRI) | May 17, 2019
Miami Cardiac & Vascular Institute announced the implementation of Philips’ Ingenia Ambition X 1.5T MR, the world’s...
Brain images that have been pre-reviewed by the Viz.AI artificial intelligence software to identify a stroke. The software automatically sends and alert to the attending physician's smartphone with links to the imaging for a final human assessment to help speed the time to diagnosis and treatment. Depending on the type of stroke, quick action is needed to either activate the neuro-interventional lab or to administer tPA. Photo by Dave Fornell.

Brain images that have been pre-reviewed by the Viz.AI artificial intelligence software to identify a stroke. The software automatically sends and alert to the attending physician's smartphone with links to the imaging for a final human assessment to help speed the time to diagnosis and treatment. Depending on the type of stroke, quick action is needed to either activate the neuro-interventional lab or to administer tPA. Photo by Dave Fornell.

Feature | Artificial Intelligence | May 17, 2019 | Inga Shugalo
With its increasing role in medical imaging,...
Videos | Advanced Visualization | May 16, 2019
This is an example of how virtual reality is being used in neuro-radiology to better evaluate patients using advanced
Managing Architectural Distortion on Mammography Based on MR Enhancement
News | Mammography | May 15, 2019
High negative predictive values (NPV) in mammography architectural distortion (AD) without ultrasonographic (US)...
Netherlands Hospital to Install State-of-the-Art MRI Ablation Center
News | Magnetic Resonance Imaging (MRI) | May 13, 2019
Imricor announced the signing of a commercial agreement with the Haga Hospital in The Hague, Netherlands to outfit a...