MRI-Based Technology Assesses Muscle Composition
|
By MedImaging International staff writers Posted on 21 Dec 2021 |

Image: A graphical MAsS score of visceral fat (L) and muscle (R) (Photo courtesy of AMRA medical)
Novel software can analyze a patient with suspected sarcopenia using a rapid neck-to-knee magnetic resonance imaging (MRI) scan.
The AMRA medical (Linköping, Sweden) Muscle Assessment Score (MAsS) Scan is designed to measure volumetric changes in muscle mass and the diffusion of fat infiltration into the muscle. The scanning protocol is based on symmetrical chemical shift imaging, also known as two-point Dixon imaging. Acquired images consist of fat and water image pairs, as reconstructed by the software. The images are automatically calibrated and corrected for variations caused by inhomogeneity in the magnetic field and coil sensitivity.
The resulting report contains the MAsS scan, anatomic and color-coded images, and precise body composition measurements with contextual insights based on AMRA's reference database. The platform-agnostic software works across all major 1.5 and 3T MR scanners, such that output across scanners is standardized and calibrated using the fat signal as an internal reference. The value of each pixel shows the percentage of fat in it; partial-volume effects do not affect quantification, and thin layers of fat (or even diffuse infiltration) contribute to fat quantification.
In addition, AMRA automates the classification and quantification of fat and muscle groups, with segmentation based on registration between the image data volume and manually segmented prototype volumes. Body fat is divided into subcutaneous, visceral, and ectopic compartments; muscle groups are automatically classified, and the volume of each individual muscle group is obtained. Additionally, the amount of fat in any user-defined region, (e.g. a muscle or an internal organ) can be calculated also for diffuse fat infiltration.
“The AMRA MAsS Scan will greatly benefit patients by allowing clinicians to assess sarcopenia and improve patient outcomes an objectively and accurately assess muscle quality and take action,” said Eric Converse, CEO of AMRA Medical. “The beauty of the report is that it is easy-to-understand, it creates a common language among clinicians with the muscle assessment score, and adds only minutes to an already prescribed MRI.”
Sarcopenia (from the Greek, meaning "poverty of flesh") is the degenerative loss of skeletal muscle mass. Sarcopenia is characterized first by muscle atrophy, along with a reduction in muscle tissue "quality," caused by such factors as replacement of muscle fibers with fat, an increase in fibrosis, changes in muscle metabolism, oxidative stress, and degeneration of the neuromuscular junction. Combined, these changes lead to progressive loss of muscle function and frailty. Sarcopenia can be thought of as a muscular analog of osteoporosis, also caused by inactivity and counteracted by exercise. The combination of osteoporosis and sarcopenia results in the significant frailty often seen in the elderly population.
Related Links:
AMRA medical
The AMRA medical (Linköping, Sweden) Muscle Assessment Score (MAsS) Scan is designed to measure volumetric changes in muscle mass and the diffusion of fat infiltration into the muscle. The scanning protocol is based on symmetrical chemical shift imaging, also known as two-point Dixon imaging. Acquired images consist of fat and water image pairs, as reconstructed by the software. The images are automatically calibrated and corrected for variations caused by inhomogeneity in the magnetic field and coil sensitivity.
The resulting report contains the MAsS scan, anatomic and color-coded images, and precise body composition measurements with contextual insights based on AMRA's reference database. The platform-agnostic software works across all major 1.5 and 3T MR scanners, such that output across scanners is standardized and calibrated using the fat signal as an internal reference. The value of each pixel shows the percentage of fat in it; partial-volume effects do not affect quantification, and thin layers of fat (or even diffuse infiltration) contribute to fat quantification.
In addition, AMRA automates the classification and quantification of fat and muscle groups, with segmentation based on registration between the image data volume and manually segmented prototype volumes. Body fat is divided into subcutaneous, visceral, and ectopic compartments; muscle groups are automatically classified, and the volume of each individual muscle group is obtained. Additionally, the amount of fat in any user-defined region, (e.g. a muscle or an internal organ) can be calculated also for diffuse fat infiltration.
“The AMRA MAsS Scan will greatly benefit patients by allowing clinicians to assess sarcopenia and improve patient outcomes an objectively and accurately assess muscle quality and take action,” said Eric Converse, CEO of AMRA Medical. “The beauty of the report is that it is easy-to-understand, it creates a common language among clinicians with the muscle assessment score, and adds only minutes to an already prescribed MRI.”
Sarcopenia (from the Greek, meaning "poverty of flesh") is the degenerative loss of skeletal muscle mass. Sarcopenia is characterized first by muscle atrophy, along with a reduction in muscle tissue "quality," caused by such factors as replacement of muscle fibers with fat, an increase in fibrosis, changes in muscle metabolism, oxidative stress, and degeneration of the neuromuscular junction. Combined, these changes lead to progressive loss of muscle function and frailty. Sarcopenia can be thought of as a muscular analog of osteoporosis, also caused by inactivity and counteracted by exercise. The combination of osteoporosis and sarcopenia results in the significant frailty often seen in the elderly population.
Related Links:
AMRA medical
Latest MRI News
- Ultra-Detailed Brain Atlas Enhances Early Detection of Neurological Disorders
- Study Finds Advanced Imaging Significantly Reduces Unnecessary Prostate Biopsies
- New Material Boosts MRI Image Quality
- AI Model Reads and Diagnoses Brain MRI in Seconds
- MRI Scan Breakthrough to Help Avoid Risky Invasive Tests for Heart Patients
- MRI Scans Reveal Signature Patterns of Brain Activity to Predict Recovery from TBI
- 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
Channels
Radiography
view channel
AI Boosts Breast Cancer Detection and Cuts Screening Workload
Breast cancer screening programs face rising demand and persistent workforce shortages, straining double-reading workflows and delaying care. Early detection is critical to reduce mortality and minimize... Read more
AI Tool Predicts Breast Cancer Risk Years Ahead Using Routine Mammograms
Breast cancer screening saves lives but still relies largely on uniform schedules despite wide differences in individual risk. This one-size-fits-all approach can miss cancers in higher-risk women while... Read moreUltrasound
view channel
New Consensus Standardizes Ultrasound-Based Fatty Liver Assessment
Metabolic dysfunction-associated steatotic liver disease (MASLD) is rising along with obesity and diabetes, making accurate, scalable measurement of hepatic fat a clinical priority. Biopsy is invasive... Read more
Groundbreaking Technology to Enhance Precision in Emergency and Critical Care
Rapid and accurate imaging is essential for diagnosing life-threatening conditions such as myocardial infarction, heart failure, and pulmonary embolism. However, conventional ultrasound imaging of the... Read moreNuclear Medicine
view channel
PET Tracer Enables Noninvasive Measurement of Beta Cell Mass
Type 1 diabetes is an autoimmune disease in which the immune system destroys insulin-producing pancreatic beta cells. Loss of these cells destabilizes glucose control and drives complications.... Read more
New Imaging Tool Sheds Light on Tumor Fat Metabolism
Rapidly growing tumors reprogram metabolism to meet high energy demands. While many cancers preferentially consume glucose, lipid utilization by malignant cells is difficult to measure in living subjects.... Read more
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read moreGeneral/Advanced Imaging
view channel
AI Tool Predicts Side Effects from Lung Cancer Treatment
Radiation therapy is a central treatment for lung cancer, but even carefully targeted radiation can affect surrounding healthy tissue. Patients may develop side effects such as lung inflammation, coughing,... Read more
AI Tool Offers Prognosis for Patients with Head and Neck Cancer
Oropharyngeal cancer is a form of head and neck cancer that can spread through lymph nodes, significantly affecting survival and treatment decisions. Current therapies often involve combinations of surgery,... 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
Nuclear Medicine Set for Continued Growth Driven by Demand for Precision Diagnostics
Clinical imaging services face rising demand for precise molecular diagnostics and targeted radiopharmaceutical therapy as cancer and chronic disease rates climb. A new market analysis projects rapid expansion... Read more







