Automatic quantification of morphology on magnetic resonance images of the proximal tibia

Automatic quantification of morphology on magnetic resonance images of the proximal tibia

The morphological quantification of the proximal tibia of the knee joint is important in knee replacement. Accurate knowledge of these parameters provides the basis for design of the tibial prosthesis and its fixation. Ideally, a prosthesis that is suitable for the morphological characteristics of C...

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Bibliographic Details
Main Authors: Dongdong He, Yuan Guo, Xushu Zhang, Changjiang Wang, Zihui Zhao, Weiyi Chen, Kai Zhang, Binping Ji
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Medicine in Novel Technology and Devices
Subjects:
Proximal tibia
Feature fusion
Quantitative analysis
Automatic segmentation
Intelligent quantification
Online Access:http://www.sciencedirect.com/science/article/pii/S2590093523000012

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http://www.sciencedirect.com/science/article/pii/S2590093523000012

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