Kinect-based gesture recognition in volumetric visualisation of heart from cardiac magnetic resonance (CMR) imaging

Abstract

Heart attacks increase rapidly as a killer disease at Malaysia, therefore Malaysian government give more attention to this particular disease in order to reduce the number of patients who got cardiac disease. Based on Malaysia Noncommunicable Disease survey during 2005-2006 and National Strategic Plan for Non-Communicable Disease (Medium term strategic plan to further strengthen the cardiovascular diseases and diabetes prevention and control program in Malaysia (2010-2014), Disease control division, Ministry of Health, Malaysia, 2010 [1]), there are several cause of cardiac disease such as less 60.1 % lacking on physical exercise, 25.5 % come from bad habit of smoking, 16.3 % patient suffer from overweight and 25.7 % from high blood pressure. For that reason, early medical diagnosis and treatment is very important for reducing the growth of heart patient. The 3D medical visualization is one of technology that potential and attractive for patient, medical doctor and scientist. Interaction with medical visualization is one of attractive research topics in human computer interaction and medical visualization. Controlling the volume visualization for 3D heart is one of the useful applications for clinician to produce an efficient ways on analysing the behaviour of heart. The aim of the this paper is to build a virtual human heart from medical imaging data, together with an interactive interface using visual 3D holographic, haptic and sonic feedback. The blood flow of human reveals the functionality of cardiovascular circular system. Therefore, the precise information retrieval and visualization display of blood flow is really needed in medical field.