Search for dissertations about: "ECG-gated"
Found 5 swedish dissertations containing the word ECG-gated.
-
1. Aortic valve imaging - Towards new standards in prosthetic valve endocarditis
Abstract : Background: Aortic prosthetic valve endocarditis (PVE) is a disease with high mortality, and diagnosis is difficult. Transesophageal echocardiography (TEE) has been the mainstay imaging modality in the diagnostic workup, but TEE has diagnostic shortcomings. Thus, new imaging methods might improve the diagnostic workup of PVE. READ MORE
-
2. Computed tomography of the coronary arteries
Abstract : Non-invasive coronary computed tomography angiography (CCTA) has become an important tool for visualisation of coronary arteries since the introduction of 64-channel detector CCTA in 2004. It has been proved to be especially beneficial for ruling out coronary artery disease (CAD) in selected patient populations, due to the high negative predictive value (NPV). READ MORE
-
3. Assessment of Left Ventricular Function and Hemodynamics Using Three-dimensional Echocardiography
Abstract : Left ventricular (LV) volumes and ejection fraction (EF) are important predictors of cardiac morbidity and mortality. LV volumes provide valuable prognostic information which isparticularly useful in the selection of therapy or determination of the optimal time for surgery. READ MORE
-
4. Myocardial Perfusion and Function: Comparative assessment by ECG, SPECT and MRI
Abstract : Evaluation of myocardial perfusion and function is important in management of patients with suspected or known coronary artery disease. This thesis focuses on the use of common diagnostic methods, myocardial perfusion single-photon emission computed tomography (MPS) and electrocardiography (ECG), to enhance and validate the diagnostic information. READ MORE
-
5. Nonlinear phonocardiographic Signal Processing
Abstract : The aim of this thesis work has been to develop signal analysis methods for a computerized cardiac auscultation system, the intelligent stethoscope. In particular, the work focuses on classification and interpretation of features derived from the phonocardiographic (PCG) signal by using advanced signal processing techniques. READ MORE