Open AccessA Review on Modelling of Knee Joint Using Medical Imaging Methods
Author(s) -
Deepak Kumar,
Jitendra Bhaskar
Publication year - 2020
Publication title -
international journal of advanced production and industrial engineering
Language(s) - English
Resource type - Journals
ISSN - 2455-8419
DOI - 10.35121/ijapie202001146
Subject(s) - cad , segmentation , computer science , scanner , knee joint , joint (building) , 3d model , artificial intelligence , computer vision , software , surgical planning , computed tomography , engineering drawing , medicine , radiology , engineering , surgery , architectural engineering , programming language
The accuracy of the 3D CAD model of the knee joint is based on various factors like imaging method i.e CT scan, MRI data, modelling software and different algorithms for segmentation. For generating geometrical and CAD model techniques like CT scan, Co-ordinate Measuring Machine (CMM) and 3D laser scanner is used. So in this paper efforts have been made to study the different factors which affect the accuracy of a 3D CAD and additively manufactured knee model. Accuracy of the knee joint is important for anatomical study, implant modeling, and pre-surgical planning. The segmentation technique is another important factor that affects the accuracy of a 3D CAD model so each segmentation technique has its pros and cons therefore evaluation of segmentation technique is also studied and compared with each other.