Forward This is part 3 of a multi-part series which goes through the custom joint replacement to a finger due to rheumatoid arthritis. Part 1 Scan data to CAD Part 2 CAD to FEA Part 3 FEA to Fatigue Durability Analysis (fe-safe/Rubber) The two silicone variants reported in Leslie et al (2008) are compared to
Forward This is part 1 of a multi-part series which goes through the custom joint replacement to a finger due to rheumatoid arthritis. Part 1 Scan data to CAD Part 2 CAD to FEA Part 3 FEA to Fatigue
Designing a medical device commonly starts with the healthy or diseased anatomy. Geometry without significant simplifications typically comes from various 3D scanning technologies such as CT or MRI. Here we will go through turning scanned point cloud data into usable NURBS CAD geometry with Catia. FOR FREE ACCESS THE FILES CREATED FOR THIS POST PLEASE CLICK HERE
While 3D printing has been widely embraced as a means of speeding up the product development process X-Ray 3D scanning has been somewhat less utilized, despite its tremendous usefulness. Part of the reason for this may be that while a 3D print can be held and touched the data files from CT scans are enormous
Introduction The purpose of this post is to explain how to utilize medical imaging data in the development of a prosthetic implant. The two most common medical imaging technologies are CT and MRI. Both export a stack of 2D grey scale images over a 3D domain in the standard Digital Imaging and Communications in Medicine (DICOM) format. In this post I will go through the development of geometric (CAD) and mechanical (FEA) models based off anatomical imaging data. Through this workflow designs can be tuned for specific biometry based on realistic loading scenarios. As always all of the models used to develop this post are available at the end of the article.