SwiftSightBody Composition

Drive Growth with MRI Body Composition

Add AI-powered quantitative body composition analysis to existing MRI services and create new revenue opportunities from the MRI infrastructure already in operation.

Turn a <5-Minute Scan into Scalable Revenue

SwiftSight Body Composition is designed to make quantitative body composition practical to introduce, operate, and expand within existing MRI services.

Under Five Minutes

A short MRI acquisition makes body composition practical to incorporate into high-volume imaging operations.

Use Existing MRI Infrastructure

Add quantitative body composition without purchasing another imaging modality or creating a separate imaging service.

Deploy Across Your Network

Extend the same body composition capability across multiple locations as part of a multi-site MRI strategy.

Standardize the Patient Experience

Use a consistent approach to quantitative analysis and reporting across locations, supporting continuity wherever patients are scanned.

Automate for Scale

AI-powered segmentation reduces reliance on manual measurement, making the service easier to expand without adding unnecessary analysis burden.

Create a New Revenue Opportunity

Extend existing MRI programs or introduce a differentiated quantitative body composition offering using MRI infrastructure already in operation.

Why SwiftSight Body Composition?

The business opportunity only works if the technology is practical to deliver. SwiftSight combines automated analysis, quantitative measurement, benchmarking, and reporting in one MRI-based body composition capability.

Automated Quantitative Analysis

AI-driven segmentation identifies and quantifies relevant muscle and fat compartments without requiring manual measurement.

Comprehensive Assessment

Bring together visceral and subcutaneous fat, abdominal and thigh muscle, muscle quality, bilateral balance, and liver fat within one assessment.

Standardized Reporting & Benchmarking

Quantitative measurements, percentile information, and visual summaries are brought together in a structured Body Composition Report, with measurements placed into context using age- and sex-matched reference populations.

Longitudinal Measurement

Establish a quantitative baseline and use repeat assessments to evaluate changes in fat distribution, muscle composition, muscle quality, balance, and liver fat over time.

One Capability. Multiple Service Opportunities.

Add body composition to programs you already offer, or use it as the foundation of a new quantitative MRI service.

Preventive Health

Add quantitative insight into fat, muscle, and liver composition to preventive and whole-body MRI programs.

Healthy Aging & Longevity

Track muscle proportion, muscle quality, and fat infiltration as part of programs focused on health and function over time.

Weight Management

Measure changes in fat while monitoring whether muscle is being preserved during lifestyle, medical, or weight-management interventions.

Metabolic Assessment

Assess visceral adiposity, liver fat, and muscle quality to provide information beyond weight or BMI alone.

Rehabilitation & Performance

Evaluate muscle proportion, muscle quality, and bilateral balance to support assessment of recovery and physical performance.

Same Age. Same BMI. Different Body Composition.

The value of SwiftSight’s tissue-specific analysis becomes clear in patients who appear similar by conventional measures.

Despite the same age and BMI, SwiftSight reveals markedly different adipose distribution and muscle composition, quantifying those differences to provide objective measurements for patient-specific assessment and longitudinal tracking.

Patient A

Patient B

Assess Hidden Metabolic Risks BMI Can’t Show

Subcutaneous fat sits beneath the skin, while visceral fat is stored deeper in the abdomen around the internal organs. These two fat compartments can have very different implications for metabolic health, even in patients with a similar weight or BMI.

SwiftSight automatically separates and quantifies visceral and subcutaneous fat, reporting both the measured proportion and how the patient compares with an age- and sex-matched population. This provides a more meaningful view of abdominal adiposity and a quantitative baseline that can be followed over time.

Age range 70–74 · Female · 5'0".

A <5-Minute Scan. Built Into Your Existing MRI Workflow.

SwiftSight integrates seamlessly into existing MRI workflows without adding another imaging modality or creating a separate body composition workflow.

MRI is Acquired

The required abdomen, liver, and thigh imaging is acquired as part of the body composition examination.

SwiftMR® can be incorporated to support faster acquisition where appropriate.

SwiftSight Automatically Analyzes the Images

AI-powered segmentation identifies and quantifies relevant muscle and fat compartments.

A Quantitative Body Composition Report is Generated

Body composition measurements, visualizations, and benchmarking are compiled into a structured report.

Results Become Part of the Patient Conversation

Clear quantitative measurements can support consultation, care recommendations, and referral pathways within the imaging provider’s existing clinical model.

Bring the Patient Back to Measure Change

Repeat MRI assessment can show how body composition changes over time, supporting annual wellness and longitudinal follow-up.

One Report for Multiple Dimensions of Body Composition

SwiftSight converts complex body composition measurements into a structured visual report designed to make quantitative information easy to understand.

Rather than delivering isolated numbers, the report combines quantitative measurements, reference ranges, percentile information and annotated MRI images to show patients what was measured and how their results compare over time.

Example report, synthetic patient data.

Why MRI for Body Composition?

Body composition can be assessed in several ways. The difference is what each modality can measure and how easily it can be used to follow patients over time. SwiftSight, with one non-invasive MRI exam, provides multiple quantitative measures of metabolic and musculoskeletal health reference points.

DEXA

Fast, established body composition method

More limited assessment of visceral and intramuscular fat

Possible, with radiation exposure

CT

High-resolution anatomical detail

Radiation limits suitability for frequent longitudinal assessment

Less suited to frequent repeat assessment

MRI with SwiftSight

AI-powered quantitative analysis

Detailed soft-tissue characterization

Muscle quantity and quality, visceral and subcutaneous fat, liver fat, muscle balance

Supports repeat quantitative assessment without ionizing radiation

Frequently Asked Questions

SwiftSight quantifies visceral and subcutaneous fat, abdominal and thigh muscle proportion, muscle quality, bilateral muscle balance, and liver fat. Results are combined into a structured body composition report with visual interpretation and peer benchmarking.

SwiftSight analyzes defined MRI images of the abdomen, thighs, and liver. Within these regions, it measures key fat and muscle compartments, including abdominal wall, psoas, paraspinal, quadriceps, hamstrings and adductors.

Weight and BMI do not show how fat and muscle are distributed. SwiftSight provides quantitative information about visceral fat, subcutaneous fat, muscle amount, muscle quality, muscle balance, and liver fat, helping distinguish patients who may have similar weight or BMI but very different body composition profiles.

SwiftSight measures intramuscular fat infiltration, or myosteatosis, within analyzed muscle groups. Lower fat infiltration corresponds with higher muscle quality, allowing muscle composition to be evaluated alongside muscle proportion.

SwiftSight separates abdominal adipose tissue into visceral fat, which is located deeper around the internal organs, and subcutaneous fat, which lies beneath the skin. Each can be quantified independently rather than being combined into a single body-fat measurement.

Yes. SwiftSight uses proton density fat fraction, or PDFF, to quantify liver fat. The software analyzes three regions of interest, calculates an average liver fat fraction, and provides a visual color map alongside the quantitative result.

SwiftSight generates a visual Body Composition Report summarizing key measurements such as muscle proportion, muscle quality, muscle balance, visceral fat, subcutaneous fat, and liver fat. Additional report pages show the analyzed anatomy and provide more detailed abdominal, thigh, and liver measurements.

SwiftSight compares measurements with reference populations matched by age and sex. Percentiles and visual expected and optimal ranges help providers and patients understand where an individual measurement sits relative to comparable people.

Yes. Because the measurements are quantitative, repeat MRI assessments can be used to evaluate changes in fat distribution, muscle composition, muscle quality, balance, and liver fat over time.

The capabilities can support metabolic assessment, healthy-aging programs, weight-management programs, rehabilitation, preventive imaging, and whole-body MRI services.

MRI does not use ionizing radiation and provides detailed soft-tissue visualization, allowing fat, muscle, and liver composition to be assessed within the same imaging-based body composition program.

Body composition can be incorporated into an existing whole-body, wellness, or preventive MRI program or used as part of a new service. MRI data are analyzed by SwiftSight, quantitative results are generated, and the resulting report can be incorporated into the center’s existing patient consultation and follow-up workflow.

Yes. SwiftMR can be integrated with the workflow to accelerate MRI acquisition while providing imaging data for SwiftSight quantitative analysis.

Scale Body Composition Across Your Network

Add quantitative body composition to your imaging network with automated analysis, patient reporting, peer benchmarking, and longitudinal tracking, without adding another imaging modality.

SwiftSight® Body Composition is FDA 510(k) cleared in the United States.

Abdominal SAT MRI slice, Patient A Hamstrings & adductors MRI slice, Patient A Abdominal SAT MRI slice, Patient B Hamstrings & adductors MRI slice, Patient B Subcutaneous adipose tissue, segmented in teal on an abdominal MRI slice Visceral adipose tissue, segmented in yellow on an abdominal MRI slice Report page: key results, with muscle proportion, muscle quality, balance and fat measures, and the body composition graph Report page: how to read the scans and the graphs, with an annotated example Report page: abdominal muscle, with abdominal wall, psoas major and paraspinal muscle segmented on MRI Report page: abdominal fat, with subcutaneous and visceral compartments segmented on MRI Report page: thigh composition, with quadriceps, hamstrings and adductors, and subcutaneous fat Report page: liver fat, with a proton density fat fraction map and a severity scale