MFDS Approved · FDA(510K) Clearance
Lifelog monitoring and quantification
of anatomical data through AI digital twin
CT
Segmentation
Report
Body composition analysis
Muscle-fat analysis
Bone analysis
Liver analysis
Body composition analysis
Muscle-fat analysis
Bone analysis
Liver analysis
Provides ultimate accuracy in body composition analysis with a single click
Provides medical examination without
adoption of additional equipment or examination
Skin indices
Fat indices
Muscle indices
Liver & Spleen indices
Bone density
Liver proton density fat fraction
Muscle quality map
Agatston score
Lifelog report with 3D visualization
- Skin
- Subcutaneous fat
- Muscle
- Abdominal visceral fat
- Internal organs
- Liver and Spleen
- Bone
- Individual vertebra
- Central nervous system
Report
Automatic search for fast analysis
Thoracic Vertebrae
(T1 ~ T12)
(T1 ~ T12)
Lumbar Vertebrae
(L1 ~ L5)
(L1 ~ L5)
Abdominal Waist
Vertebral
Column
Column
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
L1
L2
L3
L4
L5
“ MEDICAL IP’s DeepCatch-based Research
Published in International Journal Radiology.”
References
November 21 / 2024
Artificial Intelligence-Driven Volumetric Analysis of Muscle Mass as a Predictor of Tumor Response to Neoadjuvant Chemoradiotherapy in Patients with Rectal Cancer
Rectal CancerPMID: 39685473Minsung Kim...et al
September 16 / 2024
Comparative analysis of body composition using torso CT from PET/CT with bioelectrical impedance and muscle strength in healthy adults
SarcopeniaPMID: 39285204Dong Yun Lee...et al
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DeepCatch is a body composition analysis solution with high accuracy.
DeepCatch bases its analysis on quantified data of CT images and provides proportions
and measurements of muscle, fat, etc. This can be used in prediction and prevention
of various metabolic diseases
such as sarcopenia and osteoporosis.
