会议专题

Detection of Cardiac Geometry via Difference Intensity of Echocardiogram Images

Echocardiogram is an ultrasound image of the heart that demonstrates the size, motion and composition of cardiac structures and is also used to diagnose various abnormalities of the heart including abnormal chamber size, shape and congenital heart disease. Echocardiography provides important morphological and functional details of the heart. Most of the presented automatic cardiac disease recognition systems that use echocardiograms based on defective anatomical region detection. In this paper we present a simple technique for cardiac geometry detection via echocardiogram images which conquer these borders and exploits cues from cardiac structure. To demonstrate the effectiveness of this technique, we present results for cardiac geometry detection through difference intensity of echocardiogram images. We have developed a simple program code for the prediction of cardiac geometry using difference intensity of echocardiogram images. With this code, users can generate node or point for detection of cardiac geometry as ventricle and atrium in size, shape and location.

Mohd Azrul Hisham Mohd Adib Mohd Fadhlan Yusof Zulkifli Ahmad Nur Hazreen Mohd Hasni

Sport & Human Engineering Group (SHEG),Faculty of Mechanical Engineering, Universiti Malaysia Pahang Advanced Structural Integrity and Vibration Research (ASIVR),Faculty of Mechanical Engineering, Univ Department of Surgery,Hospital Tengku Ampuan Afzan (HTAA), Kuantan, Pahang Malaysia

国际会议

International Symposium on Integrative Bioinformatics the 8th Annual Meeting(2012年整合生物信息学国际会议暨第八届年度会议 IB 2012)

杭州

英文

149-154

2012-04-02(万方平台首次上网日期,不代表论文的发表时间)