Title :
Automatic knee cartilage segmentation and visualization
Author :
Bakir, Houda ; Zrida, Jalel
Author_Institution :
Dept. Genie Electr., Ecole Super. des Sci. et Tech. de Tunis, Tunis, Tunisia
Abstract :
In this paper we propose a full automatic segmentation of the knee cartilage from magnetic resonance images (MRI). The new segmentation approach is based on a combination of the Vector Field Convolution (VFC) image´s features and radial search algorithm. The proposed approach provides an automatic segmentation and a 3D visualization of the knee cartilage.
Keywords :
biomedical MRI; convolution; data visualisation; image segmentation; medical image processing; search problems; 3D visualization; MRI; VFC image features; knee cartilage segmentation; knee cartilage visualization; magnetic resonance images; radial search algorithm; segmentation approach; vector field convolution; Image edge detection; Image reconstruction; Image segmentation; Surface reconstruction; Three-dimensional displays; Vectors; 3D visualization; Automatic image segmentation; MRI; VFC; cartilage segmentation; radial search algorithm;
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4799-3078-4
DOI :
10.1109/ICACCI.2014.6968291
