Abdominal CT-based
muscle/fat segmentation AI software

Demo

segments and quantifies fat and

segments and

muscle quality by leveraging abdominal CT images.

quantifies fat and muscle quality by leveraging abdominal CT images.

L3 Slice

Automatic extraction of L3 slice

The deep learning algorithm automatically identifies and extracts the L3 slice, the key cross-sectional image that best represents muscle and fat distribution on CT.

Segmentation and measurement of muscle/fat area

AI precisely segments muscle and fat based on quality and provides quantified data.

Intuitive and accessible analysis is provided through various structured reports and patient-focused explanatory materials.

REPORT

REPORT

REPORT

REPORT

REPORT

Rich information in diverse reports

English and Korean Report Provided

Commentary Guide for the Examinee with Detailed Explanation (optional)

PROS® CT: MQ Exclusive Catalog (Optional)

Key indicators associated with metabolic diseases are provided

Visceral Fat Area

VFA

A fat index strongly correlated with metabolic state

Visceral Fat Area

VFA

A fat index strongly correlated with metabolic state

Proportion of healthy muscle

NAMA1/TAMA2 Index

A new index that represents the proportion of non-fat-infiltrated muscle relative to the total abdominal muscle, offering more detailed insights into muscle quality

Proportion of healthy muscle

NAMA1/TAMA2 Index

A new index that represents the proportion of non-fat-infiltrated muscle relative to the total abdominal muscle, offering more detailed insights into muscle quality

Low Attenuation Muscle Area

LAMA3 I, II

Classifies muscle quality into Type I, II based on the extent of fat infiltration and deliver more detailed information

*Hounsfield Unit(HU)

Low Attenuation Muscle Area

LAMA3 I, II

Classifies muscle quality into Type I, II based on the extent of fat infiltration and deliver more detailed information

*Hounsfield Unit(HU)

1. Normal Attenuation Muscle Area

2. Total Abdominal Muscle Area

3. Low Attenuation Muscle Area

1. Normal Attenuation Muscle Area

2. Total Abdominal Muscle Area

3. Low Attenuation Muscle Area

Personalized measurements are provided in comparison to the averages and distributions of healthy adults and age-matched populations.

Index Title: Type of the index represented by the graph.

Age: The patient's age.

Index Results: view the analysis results on the left y-axis.

T-Score: check the relative position of the patient in comparison to average healthy adults on the right y-axis.

Z-Score: check the relative difference in comparison to age-matched adults.

Index Title: Type of the index represented by the graph.

Age: The patient's age.

Index Results: view the analysis results on the left y-axis.

T-Score: check the relative position of the patient in comparison to average healthy adults on the right y-axis.

Z-Score: check the relative difference in comparison to age-matched adults.

Trained on high-quality, validated data,

our AI model demonstrated reliable performance.

Trained on high-quality,

validated data,

our AI model demonstrated reliable performance.

96% Muscle/fat
segmentation alignment

Model performance was validated using 21,708 abdominal CT scans, showing a high level of concordance.

Explore the association between metabolic diseases and

index.

Type 2 diabetes mellitus

Higher VFA and VSR at baseline were independent risk factors for the development of T2DM.

NAFLD
(Non-alcoholic fatty liver disease)

A higher proportion of good quality muscle was associated with lower risks of NAFLD and fibrosis.

Sarcopenia

BMI-adjusted index(SMA/BMI) was the best index of CT-measured SMA to reflects the age-related muscle changes and to maximize the diagnostic yield for sarcopenia.