Raghavendra, U. and Wei, Joel Koh En and Gudigar, Anjan and Shetty, Akanksha and Samanth, Jyothi and Paramasivam, Ganesh and Jagadish, Sujay and Kadri, Nahrizul Adib and Karabatak, Murat and Yildirim, Ozal and Arunkumar, N. and Ardakani, Ali Abbasian (2022) Automated diagnosis and assessment of cardiac structural alteration in hypertension ultrasound images. Contrast media & molecular imaging, 2022. ISSN 1555-4309, DOI https://doi.org/10.1155/2022/5616939.
Full text not available from this repository.Abstract
Hypertension (HTN) is a major risk factor for cardiovascular diseases. At least 45% of deaths due to heart disease and 51% of deaths due to stroke are the result of hypertension. According to research on the prevalence and absolute burden of HTN in India, HTN positively correlated with age and was present in 20.6% of men and 20.9% of women. It was estimated that this trend will increase to 22.9% and 23.6% for men and women, respectively, by 2025. Controlling blood pressure is therefore important to lower both morbidity and mortality. Computer-aided diagnosis (CAD) is a noninvasive technique which can determine subtle myocardial structural changes at an early stage. In this work, we show how a multi-resolution analysis-based CAD system can be utilized for the detection of early HTN-induced left ventricular heart muscle changes with the help of ultrasound imaging. Firstly, features were extracted from the ultrasound imagery, and then the feature dimensions were reduced using a locality sensitive discriminant analysis (LSDA). The decision tree classifier with contourlet and shearlet transform features was later employed for improved performance and maximized accuracy using only two features. The developed model is applicable for the evaluation of cardiac structural alteration in HTN and can be used as a standalone tool in hospitals and polyclinics.
| Item Type: | Article |
|---|---|
| Funders: | None |
| Uncontrolled Keywords: | Texture features; Classification; Prevalence; Transform; Artery |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering > Biomedical Engineering Department |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 12 Oct 2023 03:35 |
| Last Modified: | 12 Oct 2023 03:36 |
| URI: | http://eprints.um.edu.my/id/eprint/42159 |
Actions (login required)
 |
View Item |
