Improve your Medical Devices with 3D Population Driven Design

Patients come in all shapes and sizes. As a result, ensuring that a medical device will perform safely and effectively across the population, requires in depth anatomical knowledge, multiple design iterations and extensive testing. By providing medical image based population analysis software and services, Materialise helps companies to design and virtually test new devices on thousands of virtual patients and to create representative physical test models. This increased anatomical understanding, leads to a reduction in design iterations and cadaveric and patient testing, and is a powerful source of data to support marketing claims.

Discover how Medical Device Companies are redefining device design through 3D Population Driven Design.

Population Driven Design process flow


Image based Population Driven Design, has enabled companies to:

  • Improve implant fit, through deeper anatomical understanding
  • Optimize sizing for maximum population coverage
  • Reduce costs of testing on cadavers and patients
  • Lower design iterations and reduce time to market
  • Strengthen marketing messages through white papers

DJO Surgical

Optimizing Hip Implant With Image-Based Population Analysis

The design of a short hip stem proves to be very tricky as it needs to fit closely in the cortical bone to ensure stability. As there was not much room for error, it was difficult to create a design that fit a maximum amount of patients, since every anatomy differs slightly from person to person. DJO optimized the hip with the help of image-based population analysis.

“Now that we have experienced the power of this technology firsthand, it is like we have a hammer and everything becomes a nail. We have used this technology to improve projects throughout our R&D department.”

- Bryan Kirking, Biomechanics and Testing Scientist, DJO Surgical


Innovative Methods for Aortic Aneurysm Device Testing


“Our stent designs were tested within the physical models to define and quantify device performance. Mimics allows us to quantify edge of failure conditions and 3-matic can incorporate those performance limits into next generation device development test models. By incorporating statistical analysis with the development of benchtop test models, we are able to ensure that the devices will perform under challenging conditions”

- Srinivasan Varahoor, PhD, Principal R&D Engineer, Medtronic Endovascular


Smith & Nephew

Population based virtual bone models to reduce risks and R&D costs in the development and validation of a new knee product.

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DJO surgical

Improving Humeral Stem Design with CT Image Data

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