Use of High-Temperature Superconductors to Make MR Imaging More Affordable, Accessible and Sustainable
By MedImaging International staff writers Posted on 07 Dec 2022 |

A new research partnership focuses on the use of high-temperature superconductors to make MR imaging more affordable, accessible and sustainable in the future. Operating at higher temperatures and eliminating the use of liquid helium during both production and operation could reduce the size, weight and cost of MRI scanners, increasing accessibility across all patient communities and bringing advanced diagnostic imaging closer to a first line diagnostic tool.
Royal Philips (Amsterdam, Noord-Holland) has entered into a research partnership with magnet solutions provider MagCorp (Tallahassee, FL, USA) to explore superconducting magnets for MR scanners that do not require cooling to ultra-low temperatures (-452 °F or -269 °C) using liquid helium. Developing more sustainable alternatives to helium-cooled MRI magnets at a lower cost has the potential to offer significant benefits by making advanced MR imaging available to more patients in more diverse settings as well as potentially reducing radiology department capital and operating costs.
Operating at higher temperatures closer to ambient room temperature and eliminating liquid helium from both the production and operation of MRI scanners provides two major advantages. First, it decreases energy consumption required to sustain operation and reduces dependence on a finite and increasingly scarce natural resource, produced largely as a by-product of fossil-fuel (natural gas) extraction. Conventional MRI scanners often vent helium, which once released into the atmosphere escapes into outer space never to be seen again. Second, and just as important, it has the potential to reduce the size, weight and costs of MRI scanners. As a result, MRI’s superior diagnostic and functional imaging capabilities – notably its excellent soft-tissue imaging and absence of ionizing X-ray radiation – could be enjoyed by a larger number of patients, expanding access into underserved communities. The partnership between Philips and MagCorp aims to help realize these two major advantages.
With the introduction of its BlueSeal magnet technology in 2018, Philips already has a commercially available non-venting MRI scanner in widespread use that once charged with a small amount of helium (7 liters instead of a conventional scanner’s 1,500 liters) are sealed and operate without requiring additional helium for their entire operational life. Clinical MRI scanners that completely eliminate the need for helium are a clear direction for innovation in the long term. Using high-temperature superconductors supports a complete shift towards helium independence. The research partnership will focus on characterizing and demonstrating the feasibility of appropriate superconducting materials capable of operating at higher temperatures than today’s niobium-based superconductors. In common with helium, niobium is also a scarce element, whereas some of the new materials being investigated by the research team are based on more abundant elements. In addition to basic materials research, the team will also investigate the steps needed to commercialize the materials, and the technologies needed to enable their use in future MRI scanners.
“Florida State University’s MagLab, part of the U.S. National High Magnetic Field Laboratory, is home to many of the world’s leading researchers on novel superconducting materials that don’t require liquid helium temperatures to operate. Philips has decades of MR scanner design and development experience, including most recently the launch of the BlueSeal magnet technology,” said Josh Hilderbrand, Director, Head of MRI Magnet Research and Development at Philips. “Combining these resources with MagCorp’s research facilitation services will help leverage the latest technology to accelerate access and availability of MRI to more patients and healthcare providers.”
“MagCorp is proud of this partnership, which brings together Philips' game-changing BlueSeal magnet technology and the FSU MagLab’s unrivaled knowledge base about superconductors that can operate in a helium-free environment," said Jeff Whalen, Director of MagCorp. "Combining Philips' forward-thinking approach with FSU MagLab's scientists, who have a wealth of relevant expertise in the application of new superconductors, means Philips will be in the best position to develop innovations around this technology."
Related Links:
Royal Philips
MagCorp
Latest MRI News
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
- Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread
- First-Of-Its-Kind Tool Analyzes MRI Scans to Measure Brain Aging
- AI-Enhanced MRI Images Make Cancerous Breast Tissue Glow
- AI Model Automatically Segments MRI Images
- New Research Supports Routine Brain MRI Screening in Asymptomatic Late-Stage Breast Cancer Patients
- Revolutionary Portable Device Performs Rapid MRI-Based Stroke Imaging at Patient's Bedside
- AI Predicts After-Effects of Brain Tumor Surgery from MRI Scans
- MRI-First Strategy for Prostate Cancer Detection Proven Safe
- First-Of-Its-Kind 10' x 48' Mobile MRI Scanner Transforms User and Patient Experience
- New Model Makes MRI More Accurate and Reliable
- New Scan Method Shows Effects of Treatment on Lung Function in Real Time
- Simple Scan Could Identify Patients at Risk for Serious Heart Problems
- Pioneering MRI Technique Detects Pre-Malignant Pancreatic Lesions for The First Time
Channels
Radiography
view channel
AI-Powered Mammography Screening Boosts Cancer Detection in Single-Reader Settings
A new study has revealed that an artificial intelligence (AI)-powered solution significantly improves cancer detection in single-reader mammography settings without increasing recall rates, offering a... Read more
Photon Counting Detectors Promise Fast Color X-Ray Images
For many years, healthcare professionals have depended on traditional 2D X-rays to diagnose common bone fractures, though small fractures or soft tissue damage, such as cancers, can often be missed.... Read moreUltrasound
view channel
Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms
Echocardiography is a diagnostic procedure that uses ultrasound to visualize the heart and its associated structures. This imaging test is commonly used as an early screening method when doctors suspect... Read more
Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy
While immunotherapy holds promise in the fight against triple-negative breast cancer, many patients fail to respond to current treatments. A major challenge has been predicting and monitoring how individual... Read moreNuclear Medicine
view channel
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read more
Innovative PET Imaging Technique to Help Diagnose Neurodegeneration
Neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS) and Alzheimer’s disease, are often diagnosed only after physical symptoms appear, by which time treatment may no longer be effective.... Read moreGeneral/Advanced Imaging
view channel
AI Reduces CT Lung Cancer Screening Workload by Almost 80%
Lung cancer impacts over 48,000 individuals in the UK annually, and early detection is key to improving survival rates. The UK Lung Cancer Screening (UKLS) trial has already shown that low-dose CT (LDCT)... Read more
Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
Stroke is the second leading cause of death globally, claiming millions of lives each year. Ischemic stroke, in particular, occurs when a blood vessel that supplies blood to the brain becomes blocked.... Read more
AI System Detects Subtle Changes in Series of Medical Images Over Time
Traditional approaches for analyzing longitudinal image datasets typically require significant customization and extensive pre-processing. For instance, in studies of the brain, researchers often begin... Read more
New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers
Cancers of the mouth, nose, and throat are becoming increasingly common in the U.S., particularly among younger individuals. Approximately 60,000 new cases are diagnosed annually, with 20% of these cases... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more