engleski

Applications and Methods for Computer Aided Detection in Cardiology

In the last two decades, visual computing provided comprehensive interpretation and visualization of cardiac images, including visualizations of the relevant anatomical and pathological structures, and enabling a faithful segmentations and representation of the area around the pathologies. Visualizations based on presegmented structures from medical images are mandatory for medical treatment in many fields. Open source and freely available applications are widespread in the research community, and by using these specialized applications, different method of Computer Aided Diagnosis (CAD) prototypes can be built up quickly. In this article we described the principles of CAD applications and methods by means of overview of commercial and open source software, and implementation of proposed methods for cardiac image segmentation. By using different analysis software of cardiac images, CAD prototypes can be used in clinical routines and it aims to provide a computer output as a second reader in order to assist physicians in the detection of abnormalities, quantification of disease progression and differential diagnosis of lesions. The use of CAD applications and methods, in conjunction with the physician, can reduce interpretation time and improve diagnostic specificity.

Computer Aided Detection in Cardiology; Cardiac Image Segmentation

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