Mini MRI Device Scans Extremities on Site
By MedImaging International staff writers Posted on 09 Jul 2019 |

Image: The prototype \"magic\" MRI scanner (Photo courtesy of Imperial College London).
A scaled-down magnetic resonance imaging (MRI) scanner that can rotate the orientation of its magnetic field could provide the basis for new, noninvasive diagnostics, according to a new study.
Developed by researchers at Imperial College London (Imperial; United Kingdom), the Royal Veterinary College (Hatfield, United Kingdom), and other institutions, the new scanner uses servo motors and sensors similar to those found in manufacturing robots to rotate around a leg or arm and orientate the magnetic field. By doing so, a 55-degree angle between the collagen fibers and the magnetic field can be established, which makes soft tissue image very bright. This is not possible in current hospital MRI scanners.
To optimize scan planning and new MRI data‐processing methods, six caprine and 10 canine knees were scanned at various orientations, with image intensities in segmented voxels used to find the orientation vectors of the collagen fibers. Vector field and tractography plots were computed to define an alignment index. The knees were subsequently assessed by a specialist orthopedic veterinarian, who dissected and photographed the joints. The results showed that using the magic angle can accurately detect ligament and tendon damage with encouragingly high consistency. The study was published on May 12, 2019, in Magnetic Resonance in Medicine.
“Tendons, ligaments and meniscus are not usually visible with MRI, due to the way water molecules are arranged. These structures are normally black on an MRI scan—they simply don't produce much signal that can be detected by the machine to create the image,” said Karyn Chappell, MD, of ICL. “This is because they are made mostly of the protein collagen, arranged as fibers. The collagen fibers hold water molecules in a tight configuration. If you do see a signal it suggests there is more fluid in the area, which suggests damage, but it is very difficult for medical staff to conclusively say if there is injury.”
“Previously the magic angle phenomenon was thought of as a problem, as it could mean medical staff mistakenly thinking the knee is injured. However, I realized that if we took a number of scans around the knee, we could use the signal produced by the magic angle effect to build a clear picture of the knee structures,” concluded Dr. Chappell. “Specifically, we can combine images obtained at different magnet angles and not only increase the brightness, but also establish the pattern of collagen fibers in the knee structures, which is crucial information ahead of treatments such as repairing a torn meniscus.”
In tightly bound collagen, water molecules are restricted, causing very short T2 times, accounting for the lack of signal. But when the molecules lie at 54.74° (the magic angle) from the main magnetic field, they appear hyperintense due to a lengthening of T2 times, with corresponding signal increase. The reason for this change is quantum mechanics, resulting from an interaction of Hamiltonian spins. In structured collagen, water binds to the outside of protein, and therefore exhibits an orientation-dependent effect.
Related Links:
Imperial College London
Royal Veterinary College
Developed by researchers at Imperial College London (Imperial; United Kingdom), the Royal Veterinary College (Hatfield, United Kingdom), and other institutions, the new scanner uses servo motors and sensors similar to those found in manufacturing robots to rotate around a leg or arm and orientate the magnetic field. By doing so, a 55-degree angle between the collagen fibers and the magnetic field can be established, which makes soft tissue image very bright. This is not possible in current hospital MRI scanners.
To optimize scan planning and new MRI data‐processing methods, six caprine and 10 canine knees were scanned at various orientations, with image intensities in segmented voxels used to find the orientation vectors of the collagen fibers. Vector field and tractography plots were computed to define an alignment index. The knees were subsequently assessed by a specialist orthopedic veterinarian, who dissected and photographed the joints. The results showed that using the magic angle can accurately detect ligament and tendon damage with encouragingly high consistency. The study was published on May 12, 2019, in Magnetic Resonance in Medicine.
“Tendons, ligaments and meniscus are not usually visible with MRI, due to the way water molecules are arranged. These structures are normally black on an MRI scan—they simply don't produce much signal that can be detected by the machine to create the image,” said Karyn Chappell, MD, of ICL. “This is because they are made mostly of the protein collagen, arranged as fibers. The collagen fibers hold water molecules in a tight configuration. If you do see a signal it suggests there is more fluid in the area, which suggests damage, but it is very difficult for medical staff to conclusively say if there is injury.”
“Previously the magic angle phenomenon was thought of as a problem, as it could mean medical staff mistakenly thinking the knee is injured. However, I realized that if we took a number of scans around the knee, we could use the signal produced by the magic angle effect to build a clear picture of the knee structures,” concluded Dr. Chappell. “Specifically, we can combine images obtained at different magnet angles and not only increase the brightness, but also establish the pattern of collagen fibers in the knee structures, which is crucial information ahead of treatments such as repairing a torn meniscus.”
In tightly bound collagen, water molecules are restricted, causing very short T2 times, accounting for the lack of signal. But when the molecules lie at 54.74° (the magic angle) from the main magnetic field, they appear hyperintense due to a lengthening of T2 times, with corresponding signal increase. The reason for this change is quantum mechanics, resulting from an interaction of Hamiltonian spins. In structured collagen, water binds to the outside of protein, and therefore exhibits an orientation-dependent effect.
Related Links:
Imperial College London
Royal Veterinary College
Latest MRI News
- 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
- 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
Channels
Radiography
view channel
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read more
Higher Chest X-Ray Usage Catches Lung Cancer Earlier and Improves Survival
Lung cancer continues to be the leading cause of cancer-related deaths worldwide. While advanced technologies like CT scanners play a crucial role in detecting lung cancer, more accessible and affordable... Read moreUltrasound
view channel
Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods
Chimeric antigen receptor (CAR) T-cell therapy has emerged as a highly promising cancer treatment, especially for bloodborne cancers like leukemia. This highly personalized therapy involves extracting... Read more
Tiny Magnetic Robot Takes 3D Scans from Deep Within Body
Colorectal cancer ranks as one of the leading causes of cancer-related mortality worldwide. However, when detected early, it is highly treatable. Now, a new minimally invasive technique could significantly... Read more
High Resolution Ultrasound Speeds Up Prostate Cancer Diagnosis
Each year, approximately one million prostate cancer biopsies are conducted across Europe, with similar numbers in the USA and around 100,000 in Canada. Most of these biopsies are performed using MRI images... Read more
World's First Wireless, Handheld, Whole-Body Ultrasound with Single PZT Transducer Makes Imaging More Accessible
Ultrasound devices play a vital role in the medical field, routinely used to examine the body's internal tissues and structures. While advancements have steadily improved ultrasound image quality and processing... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
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 moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... 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