Heart Motion Estimation Using a Deformable Model and Multislice Computerized Tomography Images
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 stu...
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| Format: | Article |
| Language: | fas |
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Isfahan University of Medical Sciences
2013-07-01
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| Series: | مجله دانشکده پزشکی اصفهان |
| Subjects: | |
| Online Access: | http://jims.mui.ac.ir/index.php/jims/article/view/2774 |
| _version_ | 1797714858249027584 |
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| author | Hassan Khajehpour Saeid Kermani Mohamad Hashemi Mahdi Karami |
| author_facet | Hassan Khajehpour Saeid Kermani Mohamad Hashemi Mahdi Karami |
| author_sort | Hassan Khajehpour |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T07:58:12Z |
| format | Article |
| id | doaj.art-cbe9abee620d4a42b31d70bbcebd3a30 |
| institution | Directory Open Access Journal |
| issn | 1027-7595 1735-854X |
| language | fas |
| last_indexed | 2024-03-12T07:58:12Z |
| publishDate | 2013-07-01 |
| publisher | Isfahan University of Medical Sciences |
| record_format | Article |
| series | مجله دانشکده پزشکی اصفهان |
| spelling | doaj.art-cbe9abee620d4a42b31d70bbcebd3a302023-09-02T20:04:56ZfasIsfahan University of Medical Sciencesمجله دانشکده پزشکی اصفهان1027-75951735-854X2013-07-01312345215311324Heart Motion Estimation Using a Deformable Model and Multislice Computerized Tomography ImagesHassan Khajehpour0Saeid Kermani1Mohamad Hashemi2Mahdi Karami3MSc Student, Department of Biomedical Engineering, School of Medicine AND Student Research Committee, Isfahan University of Medical Sciences, Isfahan, IranAssistant Professor, Department of Biomedical Engineering, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IranAssociate Professor, Department of Cardiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IranAssistant Professor, Department of Radiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IranBackground: 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.http://jims.mui.ac.ir/index.php/jims/article/view/2774Heart motion fieldDeformable modelActive mesh modelImage processingMultislice computerized tomography |
| spellingShingle | Hassan Khajehpour Saeid Kermani Mohamad Hashemi Mahdi Karami Heart Motion Estimation Using a Deformable Model and Multislice Computerized Tomography Images مجله دانشکده پزشکی اصفهان Heart motion field Deformable model Active mesh model Image processing Multislice computerized tomography |
| title | Heart Motion Estimation Using a Deformable Model and Multislice Computerized Tomography Images |
| title_full | Heart Motion Estimation Using a Deformable Model and Multislice Computerized Tomography Images |
| title_fullStr | Heart Motion Estimation Using a Deformable Model and Multislice Computerized Tomography Images |
| title_full_unstemmed | Heart Motion Estimation Using a Deformable Model and Multislice Computerized Tomography Images |
| title_short | Heart Motion Estimation Using a Deformable Model and Multislice Computerized Tomography Images |
| title_sort | heart motion estimation using a deformable model and multislice computerized tomography images |
| topic | Heart motion field Deformable model Active mesh model Image processing Multislice computerized tomography |
| url | http://jims.mui.ac.ir/index.php/jims/article/view/2774 |
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