Portable MRI System Makes Imaging Accessible and Immediate
By MedImaging International staff writers Posted on 25 Aug 2020 |

Image: The Hyperfine Research Swoop portable MRI system (Photo courtesy of HyperFine Research)
An innovative point-of-care (POC) MRI system wheels directly to the patient’s bedside, plugs into a standard electrical wall outlet, and is controlled through a wireless tablet.
The Hyperfine Research (Guilford, CT, USA) Swoop portable MRI system is a low-field system that features standard permanent magnets that require no power or cooling systems, producing an image using radio waves and weak magnetic fields. The Swoop is controlled via a tablet device, using sequences and protocols selected from a playlist; as a result, it is 10X lower in weight than current fixed conventional MRI systems, costs a fraction of the price, is highly portable, and plugs directly into a standard electrical wall outlet, with 35X lower power consumption.
MRI scans are captured at the patient’s bedside; once completed, images can be view directly on the tablet or on a smartphone, and can also be sent to the cloud for sharing and consultation, enabling critical decision-making in a range of clinical settings, including neuro intensive care units, emergency departments, pediatrics, ambulatory, outpatient surgery centers, and more. As a complementary system to the traditional MRI, new users can be trained on system operation, device navigation, and device safety in just 30 minutes, helping clinicians to streamline workflow.
“Six years ago, we had a crazy vision to create a new product category for imaging: an affordable point-of-care MRI system,” said Jonathan Rothberg, PhD, founder and chairman of Hyperfine Research. “With this clearance from the FDA, we are launching an astonishing new diagnostic tool for patients and providers in our Swoop Portable MRI, and we are delivering on our mission to democratize healthcare across clinical settings and geographies.”
MRI scanners can have ultraweak, weak, medium, strong, and superstrong magnetic fields, as measured in Tesla units. Highest-quality scans are usually taken with the aid of superconducting magnetic systems that generate very strong magnetic fields, providing the highest image resolution. But such high-field systems require liquid helium to keep the superconducting magnets cool, which demands high-power consumption, separate facilities, and improved shielding.
Related Links:
Hyperfine Research
The Hyperfine Research (Guilford, CT, USA) Swoop portable MRI system is a low-field system that features standard permanent magnets that require no power or cooling systems, producing an image using radio waves and weak magnetic fields. The Swoop is controlled via a tablet device, using sequences and protocols selected from a playlist; as a result, it is 10X lower in weight than current fixed conventional MRI systems, costs a fraction of the price, is highly portable, and plugs directly into a standard electrical wall outlet, with 35X lower power consumption.
MRI scans are captured at the patient’s bedside; once completed, images can be view directly on the tablet or on a smartphone, and can also be sent to the cloud for sharing and consultation, enabling critical decision-making in a range of clinical settings, including neuro intensive care units, emergency departments, pediatrics, ambulatory, outpatient surgery centers, and more. As a complementary system to the traditional MRI, new users can be trained on system operation, device navigation, and device safety in just 30 minutes, helping clinicians to streamline workflow.
“Six years ago, we had a crazy vision to create a new product category for imaging: an affordable point-of-care MRI system,” said Jonathan Rothberg, PhD, founder and chairman of Hyperfine Research. “With this clearance from the FDA, we are launching an astonishing new diagnostic tool for patients and providers in our Swoop Portable MRI, and we are delivering on our mission to democratize healthcare across clinical settings and geographies.”
MRI scanners can have ultraweak, weak, medium, strong, and superstrong magnetic fields, as measured in Tesla units. Highest-quality scans are usually taken with the aid of superconducting magnetic systems that generate very strong magnetic fields, providing the highest image resolution. But such high-field systems require liquid helium to keep the superconducting magnets cool, which demands high-power consumption, separate facilities, and improved shielding.
Related Links:
Hyperfine Research
Latest MRI News
- Simple Brain Scan Diagnoses Parkinson's Disease Years Before It Becomes Untreatable
- Cutting-Edge MRI Technology to Revolutionize Diagnosis of Common Heart Problem
- New MRI Technique Reveals True Heart Age to Prevent Attacks and Strokes
- AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- 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
Channels
Radiography
view channel
Machine Learning Algorithm Identifies Cardiovascular Risk from Routine Bone Density Scans
A new study published in the Journal of Bone and Mineral Research reveals that an automated machine learning program can predict the risk of cardiovascular events and falls or fractures by analyzing bone... Read more
AI Improves Early Detection of Interval Breast Cancers
Interval breast cancers, which occur between routine screenings, are easier to treat when detected earlier. Early detection can reduce the need for aggressive treatments and improve the chances of better outcomes.... Read more
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read moreUltrasound
view channel
New Incision-Free Technique Halts Growth of Debilitating Brain Lesions
Cerebral cavernous malformations (CCMs), also known as cavernomas, are abnormal clusters of blood vessels that can grow in the brain, spinal cord, or other parts of the body. While most cases remain asymptomatic,... Read more.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read moreNuclear Medicine
view channel
New Imaging Approach Could Reduce Need for Biopsies to Monitor Prostate Cancer
Prostate cancer is the second leading cause of cancer-related death among men in the United States. However, the majority of older men diagnosed with prostate cancer have slow-growing, low-risk forms of... Read more
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read moreGeneral/Advanced Imaging
view channel
First-Of-Its-Kind Wearable Device Offers Revolutionary Alternative to CT Scans
Currently, patients with conditions such as heart failure, pneumonia, or respiratory distress often require multiple imaging procedures that are intermittent, disruptive, and involve high levels of radiation.... Read more
AI-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
Radioligand therapy, a form of targeted nuclear medicine, has recently gained attention for its potential in treating specific types of tumors. However, one of the potential side effects of this therapy... 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
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
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