Add like
Add dislike
Add to saved papers

A voxel-based method for designing a numerical biomechanical model patient-specific with an anatomical functional approach adapted to additive manufacturing.

Here, we describe an original and efficient geometry design approach, based on voxels resulting in a validated model for printability in additive manufacturing. The proposed approach is also designed to be accessible to non-specialists as it does not require specialist skills in computer-assisted-design (CAD). It focuses on biomedical applications, particularly the geometry design of a configurable digital biomechanical model with selected anatomical features based on medical imaging compatible with customization, as might be needed for prosthetic elements. The methodology is based on two main steps. First, an accessible parametrization to medical employees of a configurable biomechanical model is matched specifically to the patient. The configurable model is designed to palliate any kind of potential lack of information from the Digital Imaging and Communication in Medicine (DICOM) file of the medical imaging or partial topological defects but with the least and sufficient number of parameters. For this purpose, the configurable model is segmented in topological areas with a complexity facing solely the desired specification, without regards of potential numerical errors prior AM such as boundary edges, intersecting faces and non-manifold edges. The second step is the voxel-based modelling, easily accessible for medical employees unfamiliar with CAD. Voxels stores the geometric information in a discrete format to facilitate customization by topological operations such as addition and subtraction. The voxelization representation coupled with a smoothing filter, results in a more realistic, robust and closed triangulated model, freed from errors of printability. This method is presented in the context of a trapezium replacement prosthesis prior to selective laser melting (SLM) and diverse post-treatments.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app