4D Flow MRI Scans Could Revolutionize Diagnosis of Patients with Heart Failure
|
By MedImaging International staff writers Posted on 28 Jun 2022 |

Researchers have developed cutting-edge imaging technology to help doctors better diagnose and monitor patients with heart failure. The state-of-the-art technology uses magnetic resonance imaging (MRI) to create detailed 4D flow images of the heart. The 4D heart MRI scan takes just six to eight minutes and can provide precise imaging of the heart valves and the flow inside the heart in three-dimension, helping doctors determine the best course of treatment for patients.
A new study by researchers at the University of East Anglia (Norwich, Norfolk, UK) has shown how this non-invasive imaging technique can measure the peak velocity of blood flow in the heart accurately and precisely. The researchers tested the new technology on 50 patients with suspected heart failure who were assessed using both echocardiography and the new advanced 4D flow heart MRI. The researchers developed prototype software to automate the process of measuring the peak velocity of blood flow inside the heart. The team hopes their work could revolutionize how heart failure is diagnosed.
“In our study, we used one of the most cutting-edge methods of flow assessment inside the heart called 4D flow MRI,” said lead researcher Dr. Pankaj Garg, from UEA’s Norwich Medical School. “In 4D flow MRI, we can look at the flow in three directions over time - the fourth dimension. We applied automated methods to hunt for the peak velocity in the chamber of the heart and showed that it is similar to echocardiography assessment, but with much greater precision.”
“This work is very important because the heart’s inability to relax leads to a rise in pressures inside the heart, and this causes heart failure with preserved ejection fraction,” added Dr. Garg. “Peak velocity of the blood flow inside the heart is a very important assessment for patients, and our findings show that by using a state-of-the-art 4D flow MRI imaging, we can do this accurately and with a high degree of repeatability. This advanced imaging offers an alternative to ultrasound methods and may even be better than ultrasound in the future.”
Related Links:
University of East Anglia
Latest MRI News
- Rapid AI System Detects and Classifies Brain Tumor Subtypes on MRI
- 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
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
Rapid AI System Detects and Classifies Brain Tumor Subtypes on MRI
Brain tumors are a major cause of cancer mortality worldwide, with roughly a quarter of a million deaths each year. Early detection and accurate subtype classification on magnetic resonance imaging are... Read more
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 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
PET/CT Improves Diagnosis and Management of Fever of Unknown Origin
Fever of unknown origin (FUO) is persistent fever without an identifiable cause and remains difficult to diagnose because potential etiologies are broad and no single gold-standard pathway exists.... Read more
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 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







