CANDIDATE TREE-IN-BUD PATTERN SELECTION AND CLASSIFICATION USING BALL SCALE ENCODING ALGORITHM

Asthma, Chronic obstructive pulmonary disease, influenza, pneumonia, tuberculosis, lung cancer and many other breathing problems are the leading causes of death and disability all over the world. These diseases affect the lung. Radiology is a primary assessing method with low specificity of the prediction of the presence of these diseases. Computer Assisted Detection (CAD) will help the specialists in detecting one of these diseases in an early stage. A method has been proposed by Ulas Bagci to detect lung abnormalities using Fuzzy connected object estimation, Ball scale encoding and comparing various features extracted from local patches of the lung images (CT scan). In this paper, the Tree-in-Bud patterns are selected after segmentation by using ball scale encoding algorithm.

[1]  Edith Eisenhuber,et al.  The tree-in-bud sign. , 2002, Radiology.

[2]  R. Bryant.  A duality theorem for Willmore surfaces , 1984 .

[3]  Jayaram K. Udupa,et al.  Scale-Based Diffusive Image Filtering Preserving Boundary Sharpness and Fine Structures , 2002, IEEE Trans. Medical Imaging.

[4]  N. Müller,et al.  Fleischner Society: glossary of terms for thoracic imaging. , 2008, Radiology.

[5]  Jayaram K. Udupa,et al.  Incorporating a measure of local scale in voxel-based 3-D image registration , 2003, IEEE Transactions on Medical Imaging.

[6]  Albert Wu,et al.  Automatic Detection and Quantification of Tree-in-Bud (TIB) Opacities from CT Scans , 2012, IEEE Transactions on Biomedical Engineering.

[7]  Xinjian Chen,et al.  Hierarchical Scale-Based Multiobject Recognition of 3-D Anatomical Structures , 2012, IEEE Transactions on Medical Imaging.

[8]  Punam K. Saha,et al.  Tensor scale: A local morphometric parameter with applications to computer vision and image processing , 2005, Comput. Vis. Image Underst..

[9]  Ulas Bagci,et al.  Computer-assisted detection of infectious lung diseases: A review , 2012, Comput. Medical Imaging Graph..

[10]  Ulas Bagci,et al.  3D automatic anatomy segmentation based on iterative graph-cut-ASM. , 2011, Medical physics.

[11]  Jianhua Yao,et al.  Scale-based scatter correction for computer-aided polyp detection in CT colonography. , 2008, Medical physics.

[12]  Jayaram K. Udupa,et al.  Scale-Based Fuzzy Connected Image Segmentation: Theory, Algorithms, and Validation , 2000, Comput. Vis. Image Underst..

[13]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[14]  Jayaram K. Udupa,et al.  Generalized scale: Theory, algorithms, and application to image inhomogeneity correction , 2006, Comput. Vis. Image Underst..