Catheter detection and segmentation in volumetric ultrasound using SVM and GLCM

The focus of this study was to develop an image-based algorithm for the catheter detection and segmentation in volumetric ultrasound. Nowadays, echocardiography is one of the most common methods of cardiovascular diseases diagnostic and surgery. As an input data the algorithm uses epicardial full-volume 3D echocardiography datasets. In total, 9 datasets consisted of 15 three-dimensional timeframes were processed. Each 3D timeframe includes 208 slices with the size of 176*176. To correctly detect the catheter, the feature-based approach was applied to recognition the catheter within the 3D echocardiography datasets. MATLAB was used for all calculations as the main numerical computing environment. Before the main part of the algorithm, we performed pre-processing of the data. The pre-processing workflow comprises imposing a restriction on the area of the region for noise reduction, automatic Otsu’s thresholding and morphological operations. The proposed algorithm based on gray-level co-o...