Computer Assisted Lung Cancer Diagnosis Based on Helical Images
ICSC '95 Proceedings of the Third International Computer Science Conference on Image Analysis Applications and Computer Graphics
Image Processing for Computer-Aided Diagnosis of Lung Cancer by CT( LSCT)
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Proceedings of the 11th international conference on Theoretical foundations of computer vision
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We propose a new local feature called three dimensional (3D) concentration index for analyzing line texture patterns in the 3D space. This feature can be used for evaluating quantitatively local concentration of lines at each point of a 3D line pattern. In the paper, simulations using artificial patterns is performed to examine basic properties of the index. The index is also applied to patterns of vessels and bronchi extracted from practical chest X-ray CT images. As a result, it is shown that 3D concentration index can be used to quantify the degree of convergence of vessels and bronchi to a tumor.