Materialise Mimics

AI-Enabled Segmentation

Save time and improve management over case inflow and your team’s expertise 

Swiftly segment and label images for precise 3D models with AI-enabled algorithms. You’ll save time, enabling confident management of clinical case inflows without compromising quality. Our cloud-based solutions empower your teams by redirecting time from segmentation to higher-value tasks so you can ensure consistency and expedite staff training. 

Computer screen with Mimics Viewer showing a patient's foot scans and a 3D model of the foot bones

Get more out of your segmentation workflow

Save time


Easily manage clinical case inflow


Optimize the use of your team’s expertise


Seamlessly connect to Mimics


Suitable for clinical use


How it works

Select your desired segmentation type in Mimics, and the algorithm will get to work while you focus on higher-value tasks. Once it’s complete, you’ll receive an email with the results, or you can check them directly in the software.

Easily share the segmentation with your colleagues to review the case, leave annotations, perform measurements, and more — they won’t even need a Mimics license. After the segmentation, you can move on to the next step in your workflow or fine-tune the results if they don’t fully meet your needs yet.

Available algorithms

Screenshot of Materialise Mimics Viewer showing segmented foot anatomy

Ankle CT

Segment and label CT scans of adult patients with common forms of deviating anatomy, such as metal implants, osteoarthritis, and osteophytes. 

Output

Talus, calcaneus, navicular, tibia, fibula, femur, patella, remaining foot bones, metal 

Screenshot of Materialise Mimics Viewer showing segmented spine anatomy

Torso CT

Output

All vertebrae with separated masks

Screenshot of Materialise Mimics Viewer showing segmented skull/jaw anatomy

CMF (CB)CT

CMF CBCT output

Skull and maxilla, mandible, maxillary teeth, mandibular teeth, neck

CMF CT output

Upper skull, mandible, maxillary teeth, mandibular teeth, hyoid, metal

Screenshot of Materialise Mimics Viewer showing segmented heart anatomy

Heart CT

Output

Aorta, left atrium, left ventricle, right atrium, right ventricle, pulmonary artery, myocardium, myocardium with left and right ventricles 

Screenshot of Materialise Mimics Viewer showing segmented shoulder anatomy

Shoulder CT

Output

Scapula, clavicle, humerus, metal

Screenshot of Materialise Mimics Viewer showing segmented hip and upper leg anatomy

Hip CT

Output

Femur, hip, sacrum and coccyx, metal

Screenshot of Materialise Mimics Viewer showing segmented knee anatomy

Knee CT

Output

Femur, tibia, fibula, foot bones, metal

Screenshot of Materialise Mimics Viewer showing segmented knee anatomy

Knee MRI

Output

Femur, tibia, femur cartilage, tibia cartilage

Screenshot of Materialise Mimics Viewer showing segmented should, torso, hip, and upper leg anatomy

All Bones CT

Output

21 different bone structures and metal

Automate your segmentation with AI

Reach out to our team to get started with AI-enabled segmentation in Mimics.

Talk to our team

L-103932-01 

Please note that ‘AI-enabled’ refers to numerical algorithms using artificial intelligence, including thresholding, machine learning, deep learning, graph-based and model-based segmentation algorithms, and combinations thereof that have been locked and validated before release. It does not refer to any form of adaptive AI/ML.

Materialise Mimics mentioned above is a research version only. Not all the Mimics Automatic Algorithms may be available in your area for medical use.

Materialise medical device software may not be available in all markets because product availability is subject to the regulatory and/or medical practices in individual markets. In countries where no regulatory registration is obtained of Materialise Mimics and/or Mimics Viewer a research version is available.

Please contact your Materialise representative if you have questions about the availability of Materialise medical device software in your area. For more detailed technical information, please refer to the technical documentation available in Mimics Viewer’s Help section.