Vector Field Convolution-Based B-Spline Deformation Model for 3D Segmentation of Cartilage in MRI

In this paper, a novel 3D vector field convolution (VFC)-based B-spline deformation model is proposed for accurate and robust cartilage segmentation. Firstly, the anisotropic diffusion method is utilized for noise reduction, and the Sinc interpolation method is employed for resampling. Then, to extr...

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Bibliographic Details
Published inSymmetry (Basel) Vol. 10; no. 11; p. 591
Main Authors Wang, Jinke, Shi, Changfa, Cheng, Yuanzhi, Zhou, Xiancheng, Tamura, Shinichi
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 04.11.2018
Subjects
Accuracy
Algorithms
B-spline model
Bones
Cartilage
cartilage segmentation
Convolution
Deformation
Eigenvalues
Feature extraction
Fields (mathematics)
Hessian matrices
Image enhancement
Image segmentation
Interpolation
Joints (anatomy)
Magnetic resonance imaging
Methods
Morphology
MRI
Noise
Noise reduction
Partial differential equations
Processing speed
Registration
Resampling
Robustness
Three dimensional models
vector field convolution
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Summary:In this paper, a novel 3D vector field convolution (VFC)-based B-spline deformation model is proposed for accurate and robust cartilage segmentation. Firstly, the anisotropic diffusion method is utilized for noise reduction, and the Sinc interpolation method is employed for resampling. Then, to extract the rough cartilage, features derived from
ISSN:2073-8994
2073-8994
DOI:10.3390/sym10110591