1. Automated hexahedral meshing of knee cartilage structures - application to data from the osteoarthritis initiative
- Author
-
Patricia Sánchez-González, Ignacio Oropesa, Enrique J. Gómez, Borja Rodriguez-Vila, and David M. Pierce
- Subjects
Engineering drawing ,Knee Joint ,Computer science ,Medicina ,0206 medical engineering ,Biomedical Engineering ,Bioengineering ,02 engineering and technology ,Osteoarthritis ,Meniscus (anatomy) ,Menisci, Tibial ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Automation ,0302 clinical medicine ,Software ,Imaging, Three-Dimensional ,medicine ,Humans ,natural sciences ,Polygon mesh ,Femur ,MATLAB ,computer.programming_language ,Telecomunicaciones ,business.industry ,General Medicine ,Anatomy ,medicine.disease ,020601 biomedical engineering ,Magnetic Resonance Imaging ,3. Good health ,Computer Science Applications ,Knee cartilage ,Human-Computer Interaction ,medicine.anatomical_structure ,Cartilage ,Hexahedron ,business ,computer - Abstract
We propose a fully automated methodology for hexahedral meshing of patient-specific structures of the human knee obtained from magnetic resonance images, i.e. femoral/tibial cartilages and menisci. We select eight patients from the Osteoarthritis Initiative and validate our methodology using MATLAB on a laptop computer. We obtain the patient-specific meshes in an average of three minutes, while faithfully representing the geometries with well-shaped elements. We hope to provide a fundamentally different means to test hypotheses on the mechanisms of disease progression by integrating our patient-specific FE meshes with data from individual patients. Download both our meshes and software at http://im.engr.uconn.edu/downloads.php.
- Published
- 2017