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
- 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
- Combined Imaging Approach Identifies Cause of Heart Attack without Coronary Blockage
- Advanced MRI System Detects Impaired Cardiac Oxygen Use in Minutes
- AI-Enhanced MRI Improves Image Quality in Arrhythmia Patients
- Ultra-Detailed Brain Atlas Enhances Early Detection of Neurological Disorders
Channels
Radiography
view channel
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 more
AI Mammography Tools Detect Early Breast Cancer Signs Years Before Diagnosis
Breast cancer screening aims to detect tumors before symptoms develop, but subtle mammographic changes can appear years before diagnosis and may be missed during routine reads. Delayed detection can lead... Read moreUltrasound
view channel
Hybrid Imaging Platform Reveals How Sleep Supports Brain Waste Removal
The brain’s glymphatic system clears metabolic waste via cerebrospinal fluid and is thought to support neural health during sleep. Yet clinicians and researchers have struggled to observe its whole‑brain... Read moreAI Robotic Ultrasound System Automates Echocardiography and Improves Consistency
Echocardiography, an ultrasound examination of the heart, is central to diagnosing and managing cardiovascular disease. Many services struggle with limited availability of skilled sonographers, variable... Read moreNuclear Medicine
view channelNew PET Tracer Detects DVT and Pulmonary Embolism in One Scan
Deep vein thrombosis is the formation of clots in deep leg veins that can migrate to the lungs as pulmonary embolism. Rapid confirmation across both regions often requires multiple tests and can delay treatment.... Read more
Targeted PET Platform Guides Osteosarcoma Resection and Margin Verification
Osteosarcoma, an aggressive primary bone cancer that mainly affects children and adolescents, demands wide excision to prevent local recurrence. Surgeons must achieve negative margins while preserving... Read moreGeneral/Advanced Imaging
view channel
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







