Rodriguez-Vila B, Sánchez-González P, Oropesa I, Gomez E J, Pierce D M
a Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicacion, Center for Biomedical Technology , Universidad Politecnica de Madrid , Madrid , Spain .
b Networking Research on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN) , Madrid , Spain .
Comput Methods Biomech Biomed Engin. 2017 Nov;20(14):1543-1553. doi: 10.1080/10255842.2017.1383984. Epub 2017 Oct 10.
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 .
我们提出了一种全自动方法,用于对从磁共振图像中获取的人体膝关节特定患者结构(即股骨/胫骨软骨和半月板)进行六面体网格划分。我们从骨关节炎倡议组织中选取了八名患者,并在笔记本电脑上使用MATLAB对我们的方法进行验证。我们平均在三分钟内获得特定患者的网格,同时用形状良好的单元忠实地呈现几何形状。我们希望通过将特定患者的有限元网格与个体患者的数据相结合,提供一种从根本上不同的方法来检验关于疾病进展机制的假设。可在http://im.engr.uconn.edu/downloads.php下载我们的网格和软件。