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

fYear

2014

fDate

24-27 Sept. 2014

Firstpage

1867

Lastpage

1870

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on

Conference_Location

New Delhi

Print_ISBN

978-1-4799-3078-4

Type

conf

DOI

10.1109/ICACCI.2014.6968291

Filename

6968291

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=165973