High Magnetic Field MRI Technology Provides Comprehensive Analysis of Strokes
|
By MedImaging International staff writers Posted on 21 Oct 2014 |

Image: MagLab’s 900 MHz magnet (Photo courtesy of FSU – Florida State University).
A new, novel way to categorize the severity of a stroke, help in diagnosis, and assesse potential treatments has been demonstrated by US researchers.
“Stroke affects millions of adults and children worldwide,” said Dr. Sam Grant, researcher and associate professor of chemical and biomedical engineering at the Florida State University-based National High Magnetic Field Laboratory (FAMU-FSU; MagLab; Tallahassee, FL, USA) and the FSU College of Engineering. “This research offers a new technique for the chemical analysis of metabolites during stroke and a means of evaluating dynamic changes in cell processes and size in living tissue.”
The research was described in two articles, one published October 9, 2014, in the journal Nature Communications, and the other published September 10, 2014, in the Journal of Cerebral Blood Flow and Metabolism.
The new technique is a way of narrowly applying energy to the metabolites of a specimen exposed to a very high magnetic field. By selectively “exciting” these metabolites and studying their distribution and confinement in brain tissue, the research team can investigate the metabolic microenvironment and tell whether cells were shrinking or expanding, a vital application for determining the severity of stroke, according to Dr. Grant.
These data could help clinicians to better treat patients. “Strokes cause an interruption of blood and oxygen to flow to the brain,” explained Jens Rosenberg, another MagLab researcher and one of Grant’s coauthors. “Through this research, we can see how neurons and other neural cells respond to the disruption of blood flow after stroke and use that information to better understand the full impacts of stroke.”
The MagLab’s flagship 900 MHz ultra-wide bore nuclear magnetic resonance (NMR) magnet system was a vital element to the research. Utilizing this powerful magnet, the researchers, which included scientists from the Champaulimaud Center (Lisbon, Portugal) and the Weizmann Institute of Science (Rehovot, Israel), were able to capture localized chemical signatures of metabolites from 125-microliter volumes within the brain with high sensitivity and fidelity in six seconds.
Typical magnetic resonance imaging (MRI) scans performed at hospitals or physician offices measure around 1.5–3 Tesla (the unit of magnetic field strength), while the 900 MHz measures an enormous 21.1 Tesla, providing at least seven times the sensitivity. “This very high field, coupled with the RF [radiofrequency] pulse sequence design by our collaborators and homebuilt RF probes offer a unique noninvasive way of evaluating stroke evolution and potential treatments,” Dr. Rosenberg said.
Moreover, the investigators envision exciting possibilities to use this technique to additionally study devastating disorders. “By evaluating spectral regions previously undetectable, we hope to fingerprint certain diseases, like ischemic stroke, so that we can identify new characteristics that are specific to pathological conditions at the metabolic level in vivo,” Dr. Grant said. “There is a lot of work to be done to identify these dynamic changes and decide when and how our treatments can be most effective.”
Additional studies on metabolites using this technique could also be used for analysis of neurological disorders such as dementia, schizophrenia, Lou Gehrig’s, Parkinson’s, Alzheimer’s and Huntington’s diseases.
Related Links:
Florida State University-based National High Magnetic Field Laboratory
Champaulimaud Center
Weizmann Institute of Science
“Stroke affects millions of adults and children worldwide,” said Dr. Sam Grant, researcher and associate professor of chemical and biomedical engineering at the Florida State University-based National High Magnetic Field Laboratory (FAMU-FSU; MagLab; Tallahassee, FL, USA) and the FSU College of Engineering. “This research offers a new technique for the chemical analysis of metabolites during stroke and a means of evaluating dynamic changes in cell processes and size in living tissue.”
The research was described in two articles, one published October 9, 2014, in the journal Nature Communications, and the other published September 10, 2014, in the Journal of Cerebral Blood Flow and Metabolism.
The new technique is a way of narrowly applying energy to the metabolites of a specimen exposed to a very high magnetic field. By selectively “exciting” these metabolites and studying their distribution and confinement in brain tissue, the research team can investigate the metabolic microenvironment and tell whether cells were shrinking or expanding, a vital application for determining the severity of stroke, according to Dr. Grant.
These data could help clinicians to better treat patients. “Strokes cause an interruption of blood and oxygen to flow to the brain,” explained Jens Rosenberg, another MagLab researcher and one of Grant’s coauthors. “Through this research, we can see how neurons and other neural cells respond to the disruption of blood flow after stroke and use that information to better understand the full impacts of stroke.”
The MagLab’s flagship 900 MHz ultra-wide bore nuclear magnetic resonance (NMR) magnet system was a vital element to the research. Utilizing this powerful magnet, the researchers, which included scientists from the Champaulimaud Center (Lisbon, Portugal) and the Weizmann Institute of Science (Rehovot, Israel), were able to capture localized chemical signatures of metabolites from 125-microliter volumes within the brain with high sensitivity and fidelity in six seconds.
Typical magnetic resonance imaging (MRI) scans performed at hospitals or physician offices measure around 1.5–3 Tesla (the unit of magnetic field strength), while the 900 MHz measures an enormous 21.1 Tesla, providing at least seven times the sensitivity. “This very high field, coupled with the RF [radiofrequency] pulse sequence design by our collaborators and homebuilt RF probes offer a unique noninvasive way of evaluating stroke evolution and potential treatments,” Dr. Rosenberg said.
Moreover, the investigators envision exciting possibilities to use this technique to additionally study devastating disorders. “By evaluating spectral regions previously undetectable, we hope to fingerprint certain diseases, like ischemic stroke, so that we can identify new characteristics that are specific to pathological conditions at the metabolic level in vivo,” Dr. Grant said. “There is a lot of work to be done to identify these dynamic changes and decide when and how our treatments can be most effective.”
Additional studies on metabolites using this technique could also be used for analysis of neurological disorders such as dementia, schizophrenia, Lou Gehrig’s, Parkinson’s, Alzheimer’s and Huntington’s diseases.
Related Links:
Florida State University-based National High Magnetic Field Laboratory
Champaulimaud Center
Weizmann Institute of Science
Latest MRI News
- Novel Imaging Approach to Improve Treatment for Spinal Cord Injuries
- AI-Assisted Model Enhances MRI Heart Scans
- AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
- New MRI Technique Reveals Hidden Heart Issues
- Shorter MRI Exam Effectively Detects Cancer in Dense Breasts
- MRI to Replace Painful Spinal Tap for Faster MS Diagnosis
- MRI Scans Can Identify Cardiovascular Disease Ten Years in Advance
- 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
Channels
Radiography
view channel
X-Ray Breakthrough Captures Three Image-Contrast Types in Single Shot
Detecting early-stage cancer or subtle changes deep inside tissues has long challenged conventional X-ray systems, which rely only on how structures absorb radiation. This limitation keeps many microstructural... Read more
AI Generates Future Knee X-Rays to Predict Osteoarthritis Progression Risk
Osteoarthritis, a degenerative joint disease affecting over 500 million people worldwide, is the leading cause of disability among older adults. Current diagnostic tools allow doctors to assess damage... Read moreUltrasound
view channel
Wearable Ultrasound Imaging System to Enable Real-Time Disease Monitoring
Chronic conditions such as hypertension and heart failure require close monitoring, yet today’s ultrasound imaging is largely confined to hospitals and short, episodic scans. This reactive model limits... Read more
Ultrasound Technique Visualizes Deep Blood Vessels in 3D Without Contrast Agents
Producing clear 3D images of deep blood vessels has long been difficult without relying on contrast agents, CT scans, or MRI. Standard ultrasound typically provides only 2D cross-sections, limiting clinicians’... Read moreNuclear Medicine
view channel
PET Imaging of Inflammation Predicts Recovery and Guides Therapy After Heart Attack
Acute myocardial infarction can trigger lasting heart damage, yet clinicians still lack reliable tools to identify which patients will regain function and which may develop heart failure.... Read more
Radiotheranostic Approach Detects, Kills and Reprograms Aggressive Cancers
Aggressive cancers such as osteosarcoma and glioblastoma often resist standard therapies, thrive in hostile tumor environments, and recur despite surgery, radiation, or chemotherapy. These tumors also... Read more
New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read moreGeneral/Advanced Imaging
view channel
3D Scanning Approach Enables Ultra-Precise Brain Surgery
Precise navigation is critical in neurosurgery, yet even small alignment errors can affect outcomes when operating deep within the brain. A new 3D surface-scanning approach now provides a radiation-free... Read more
AI Tool Improves Medical Imaging Process by 90%
Accurately labeling different regions within medical scans, a process known as medical image segmentation, is critical for diagnosis, surgery planning, and research. Traditionally, this has been a manual... Read more
New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents
Medical imaging technologies face ongoing challenges in capturing accurate, detailed views of internal processes, especially in conditions like cancer, where tracking disease development and treatment... Read more
AI Algorithm Accurately Predicts Pancreatic Cancer Metastasis Using Routine CT Images
In pancreatic cancer, detecting whether the disease has spread to other organs is critical for determining whether surgery is appropriate. If metastasis is present, surgery is not recommended, yet current... 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 morePatient-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







