Local Ternary Co-occurrence Patterns based Lung Nodules Detection

Lung nodules are the common indicator of lung cancer. Computed tomography (CT) images are very useful method for detecting lung nodules due to its precision. The large number of slices in each CT scan needs the computer aided detection (CAD) techniques to detect the presence of nodules to assist radiologists. The aim of this paper is to detect the lung nodules using a feature extraction technique called local ternary co-occurrence patterns (LTCoP). Using LTCoP features, support vector machine (SVM) is trained and thereby detecting lung nodules and eliminating non-nodules. Comparison is made between LTCoP features and Local Binary Pattern (LBP) features in lung nodule detection. It is found that LTCoP features outperforms LBP in lung nodule detection with 91.5% accuracy.

[1]  Danna Zhou,et al.  d. , 1934, Microbial pathogenesis.

[2]  H. Bartsch,et al.  International Agency for Research on Cancer. , 1969, WHO chronicle.

[3]  Temesguen Messay,et al.  A new computationally efficient CAD system for pulmonary nodule detection in CT imagery , 2010, Medical Image Anal..

[4]  K. Doi,et al.  Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening. , 2004, Academic radiology.

[5]  Heinz-Otto Peitgen,et al.  Morphological segmentation and partial volume analysis for volumetry of solid pulmonary lesions in thoracic CT scans , 2006, IEEE Transactions on Medical Imaging.

[6]  Guido Valli,et al.  3-D Segmentation Algorithm of Small Lung Nodules in Spiral CT Images , 2008, IEEE Transactions on Information Technology in Biomedicine.

[7]  Zhang Li,et al.  Contrast Limited Adaptive Histogram Equalization , 2010 .

[8]  Richard C. Pais,et al.  The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. , 2011, Medical physics.

[9]  Thomas S. Huang,et al.  A fast two-dimensional median filtering algorithm , 1979 .

[10]  Yoshihiko Maehara,et al.  Operative results of clinical stage I non-small cell lung cancer. , 2003, Lung cancer.

[11]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[12]  Matti Pietikäinen,et al.  A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..

[13]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[14]  Noboru Niki,et al.  CAD system for lung cancer based on low-dose single-slice CT image , 2002, SPIE Medical Imaging.

[15]  Subrahmanyam Murala,et al.  Local ternary co-occurrence patterns: A new feature descriptor for MRI and CT image retrieval , 2013, Neurocomputing.