Determining heart parameters through left ventricular automatic segmentation for heart disease diagnosis
نویسندگان
چکیده
Segmentation of the left ventricle in echocardiographic images is a task with important diagnostic power. This paper describes a method for the calculation of the ventricle’s contours in longand short-axis views. The segmentation process starts with a complex border detection process, followed by the application of a generalized Hough transform to detect curves and ended up through an active-contour algorithm. Afterwards, parameters left ventricular area in a short-axis view, left ventricular length in a long-axis view, left ventricular volume, left ventricular mass, and heart-wall thickness are specifically calculated. 2007 Elsevier Ltd. All rights reserved.
منابع مشابه
Detection of Cardiac Hypertrophy by RVM and SVM Algorithms
The meaning of the hypertropy word is the increasing size.Heart hypertropy is symptoms of increase the thickness of the heart muscle that the left ventricular hypertrophy of them is the most common.The causes of hypertrophy heart disease are high blood pressure , aortic valve stenosis and sport activities respectively. Assessment of that by using ECG signal analysis is essential Because the ris...
متن کاملSegmentation of the Left Atrial Appendage in the Echocardiographic Images of the Heart Using a Deep Neural Network
Introduction: Cardiovascular diseases are one of the leading causes of mortality in today’s industrial world. Occlusion of left atrial appendage (LAA) using the manufactured devices is a growing trend. The objective of this study was to develop a computer-aided diagnosis system for the identification of LAA in echocardiographic images. Method: The data used in this descriptive analytical study ...
متن کاملSegmentation of the Left Atrial Appendage in the Echocardiographic Images of the Heart Using a Deep Neural Network
Introduction: Cardiovascular diseases are one of the leading causes of mortality in today’s industrial world. Occlusion of left atrial appendage (LAA) using the manufactured devices is a growing trend. The objective of this study was to develop a computer-aided diagnosis system for the identification of LAA in echocardiographic images. Method: The data used in this descriptive analytical study ...
متن کاملImprovement of Left Ventricular Assist Device (LVAD) in Artificial Heart Using Particle Swarm Optimization
In this approach, the Left ventricular assist pump for patients with left ventricular failure isused. The failure of the left ventricle is the most common heart disease during these days. Inthis article, a State feedback controller method is used to optimize the efficiency of a samplingpump current. Particle Swarm Algorithm, which is a set of rules to update the position andvelocity, is applied...
متن کاملThe Correlation between Left and Right Ventricular Ejection Fractions in Patients with Ischemic Heart Disease, Documented by Cardiac Magnetic Resonance Imaging
Introduction: The correlation between right and left ventricular ejection fractions (RVEF and LVEF, respectively) has been studied in only a small number of patients with a marked decrease in RVEF and LVEF. The aim of the present study was to compare LVEF and RVEF in patients with ischemic heart disease. RVEF and LVEF were measured by Cardiovascular Magnetic Resonance (CMR) imaging. Materials a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Expert Syst. Appl.
دوره 36 شماره
صفحات -
تاریخ انتشار 2009