Heart Motion Estimation Using a Deformable Model and Multislice Computerized Tomography Images

Abstract

Background: Cardiovascular diseases are the main cause of dead in the world. More than 17 million persons die because of heart abnormalities annually. Using noninvasive or low-risk methods instead of invasive and high-risks is necessary. As heart motion is affected by vascular occlusion, in this study heart dense motion field was extracted using a deformable model and multislice computerized tomography (MCT) images to distinguish between heart motion abnormal and normal regions. Methods: MATLAB software was used for simulations and the applied deformable model was active mesh model. The MCT images were turned to short axis images and then segmented. Lastly, the dense motion field of heart was extracted and shown in the standard Bull’s eye form. Findings: The accuracy and sensitivity of extracted dense motion field results, shown in the Bull’s eye form, in comparison with cardiac calcium score results were 70, 71 percent, respectively. Conclusion: Results show that the heart dense motion field extracted using active mesh model is a consistence and promising feature to help diagnosing of heart diseases.

Keywords

• Heart motion field
• Deformable model
• Active mesh model
• Image processing
• Multislice computerized tomography