POC MRI Helps Evaluate Intracerebral Hemorrhage
|
By MedImaging International staff writers Posted on 09 Sep 2021 |

Image: The Swoop low-field pMRI device (Photo courtesy of HyperFine Research)
A new study confirms that portable magnetic resonance imaging (pMRI) can scan for intracerebral hemorrhage (ICH) at the point-of-care (POC).
Researchers at Yale School of Medicine (New Haven, CT, USA) and Yale New Haven Hospital (YNHH; CT, USA) conducted a study involving 144 pMRI examinations (56 ICH, 48 acute ischemic stroke, 40 healthy controls) taken at the bedside at YNHH from July 2018 to November 2020, and compared them to traditional neuroimaging scans (non-contrast computerized tomography (CT) or 1.5/3 T MRI) to examine the efficacy of the Hyperfine Research (Guilford, CT, USA) Swoop low-field (0.064 T) pMRI device.
Two neuroradiologists evaluated all pMRI scans, with one ICH imaging core lab researcher reviewing the cases of disagreement. The raters correctly detected ICH in 45 of 56 cases (80.4%), and blood-negative cases were correctly identified in 85 of 88 cases (96.6%). Manually segmented hematoma volumes and ABC/2 formula for estimated volumes on pMRI correlated with conventional imaging volumes. Hematoma volumes measured on pMRI at discharge also correlated with manual and ABC/2 volumes. The study was published on August 25, 2021, in Nature Communications.
“There is no question this device can help save lives in resource-limited settings, such as rural hospitals or developing countries,” said senior author professor of neurology and neurosurgery Kevin Sheth, MD, of Yale School of Medicine. “There is also now a path to see how it can help in modern settings. It is of critical importance to continue to collect more data across a range of stroke characteristics so that we can maximize the potential benefit of this approach.”
The Swoop pMRI is a low-field system that features standard permanent magnets that require no power or cooling systems, producing an image using low-power radio waves and magnetic fields instead. The Swoop is controlled via a tablet device, using sequences and protocols selected from a playlist. As a result, the system 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.
Related Links:
Yale School of Medicine
Yale New Haven Hospital
Hyperfine Research
Researchers at Yale School of Medicine (New Haven, CT, USA) and Yale New Haven Hospital (YNHH; CT, USA) conducted a study involving 144 pMRI examinations (56 ICH, 48 acute ischemic stroke, 40 healthy controls) taken at the bedside at YNHH from July 2018 to November 2020, and compared them to traditional neuroimaging scans (non-contrast computerized tomography (CT) or 1.5/3 T MRI) to examine the efficacy of the Hyperfine Research (Guilford, CT, USA) Swoop low-field (0.064 T) pMRI device.
Two neuroradiologists evaluated all pMRI scans, with one ICH imaging core lab researcher reviewing the cases of disagreement. The raters correctly detected ICH in 45 of 56 cases (80.4%), and blood-negative cases were correctly identified in 85 of 88 cases (96.6%). Manually segmented hematoma volumes and ABC/2 formula for estimated volumes on pMRI correlated with conventional imaging volumes. Hematoma volumes measured on pMRI at discharge also correlated with manual and ABC/2 volumes. The study was published on August 25, 2021, in Nature Communications.
“There is no question this device can help save lives in resource-limited settings, such as rural hospitals or developing countries,” said senior author professor of neurology and neurosurgery Kevin Sheth, MD, of Yale School of Medicine. “There is also now a path to see how it can help in modern settings. It is of critical importance to continue to collect more data across a range of stroke characteristics so that we can maximize the potential benefit of this approach.”
The Swoop pMRI is a low-field system that features standard permanent magnets that require no power or cooling systems, producing an image using low-power radio waves and magnetic fields instead. The Swoop is controlled via a tablet device, using sequences and protocols selected from a playlist. As a result, the system 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.
Related Links:
Yale School of Medicine
Yale New Haven Hospital
Hyperfine Research
Latest MRI News
- Advanced MRI Reveals Structural Brain Changes Linked to Better Cognitive Health
- Cardiac MRI Detects Hidden Heart Dysfunction After Heart Attack
- AI Tool Reveals Cortical Lesions on Standard MRI in Multiple Sclerosis
- AI Reconstruction Tool Speeds Dynamic Breast MRI and Improves Cancer Detection
- International Study Assesses AI for Prostate Cancer MRI Interpretation
- AI Approach Could Shorten Advanced Brain MRI Scans by Up to 90%
- Cardiac MRI Measure Improves Risk Prediction in Tricuspid Regurgitation
- AI System Improves Accuracy of Cardiac MRI Interpretation
- Deep Learning Model Predicts Alzheimer’s Disease Outcomes from Baseline MRI
- Blood-Brain Barrier Imaging Adds Risk Insight to Standard Stroke MRI
- AI Body Composition MRI Analysis Predicts Cardiometabolic Disease Risk
- AI MRI Tool Quantifies Muscle Fat to Assess Cardiometabolic Risk
- Advanced MRI Visualizes CSF Motion Changes After Mild Traumatic Brain Injury
- MRI Tool Enables Long-Term Tracking of Transplanted Cardiac Cells
- MRI-Based AI Tool Supports Differentiation of Parkinsonian Syndromes
- MRI-Derived Biomarker Improves Risk Stratification in Glioblastoma
Channels
Radiography
view channel
Computational X-Ray Technique Enables High-Resolution, Low-Dose Radiography
Reducing radiation in medical X-ray imaging remains a persistent challenge because dose reductions often degrade spatial resolution and diagnostic confidence. This is especially critical in pediatrics,... Read more
AI Tool Predicts Five-Year Breast Cancer Risk from Mammograms
Breast cancer risk assessment during routine screening is difficult because many women who develop the disease have no known genetic mutations or family history. Static risk tools provide limited discrimination... Read moreMRI
view channel
Advanced MRI Reveals Structural Brain Changes Linked to Better Cognitive Health
Objective, noninvasive measures that capture subtle, training-related changes in adult brain structure remain limited in routine clinical practice. Quantifying neuroplasticity with precision is especially... Read more
Cardiac MRI Detects Hidden Heart Dysfunction After Heart Attack
Myocardial infarction often leaves patients with persistent ventricular dysfunction that can progress without obvious signs. Detecting early decline remains difficult because standard measures may miss... Read moreUltrasound
view channel
Simple 2D Ultrasound Tool Accurately Estimates Placental Volume
Stillbirth remains a major cause of perinatal loss, with about 21,000 cases annually in the United States. Although placental abnormalities are linked to adverse pregnancy outcomes, routine monitoring... Read more
Portable 3D Ultrasound System Enables Reproducible Breast Cancer Monitoring
Breast cancer can develop between annual mammograms, and these interval cancers account for 20% to 30% of cases and tend to be more aggressive. The challenge is pronounced in people with dense breast tissue.... Read moreNuclear Medicine
view channel
Radiotherapy Professionals Embrace AI as a Clinical Support Tool
Radiotherapy planning requires precise identification of organs at risk near a tumor, but manual contouring is repetitive and time-consuming, often delaying plan completion and straining specialist capacity.... Read more
Second PSMA PET Identifies Disease in More Than Half of Negative Cases
Biochemical recurrence of prostate cancer after prostatectomy or radiation can be difficult to localize when imaging is negative. Uncertain disease sites may delay salvage therapy and expose patients to... Read moreGeneral/Advanced Imaging
view channel
New PE-RADS Framework Standardizes Pulmonary Embolism Imaging Reports
Pulmonary embolism is a sudden blockage of the lung’s blood vessels that reduces pulmonary blood flow, can strain the right hear,t and may be fatal if untreated. Patients often present with shortness of... Read more
Virtual Staining Technique Creates Histology Images from CT Data
Pulmonary hypertension, a disorder marked by pathological remodeling of the pulmonary vessels, often requires detailed histologic assessment. Yet routine pathology remains anchored in labor‑intensive,... Read more
CT-Derived Biomarker Predicts Outcomes in Gastric Cancer
Gastric cancer, also known as stomach cancer, is the fifth most common malignancy worldwide and often shows heterogeneous outcomes even within the same stage. Prognostic estimates typically rely on tumor-centric... Read more
AI Tool Enhances Response Assessment and Survival Prediction in Pleural Mesothelioma
Pleural mesothelioma, a cancer that grows as a thin, irregular layer along the lung wall, is difficult to measure on imaging. Clinicians rely on diameter-based Response Evaluation Criteria in Solid Tumors... Read moreImaging IT
view channel
Ambient AI Reporting Platform Streamlines Radiology Reporting
Radiology departments face growing imaging volumes and staffing shortages, creating reporting bottlenecks and pressure to maintain turnaround times. Conventional dictation tools document findings after... Read more
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read moreIndustry News
view channel
GE HealthCare Showcases AI-Enabled Nuclear Medicine Portfolio at SNMMI 2026
Nuclear medicine is expanding rapidly as health systems adopt theranostics and broaden access to radiopharmaceuticals, increasing demand for scalable operations and consistent diagnostic confidence.... Read more
GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more







