Common Coronary Anomalies on MDCT

Coronary artery anomalies are rare, and the incidence is around 1 to 2% in the general population. Majority of the patients are asymptomatic and detected while investigating another clinical issue. A few anomalies may be life-threatening due to the malignant course with potential for ischemia and even sudden death. Multidetector computed tomography (MDCT) has high accuracy in detecting these anomalies because of volume rendering (VR) and multiplanar reconstruction (MPR). ‘High take-off’, origin of the coronary artery from the opposite or noncoronary cusp with anomalous course and coronary artery fistula are three most frequent anomalies. MDCT can be a useful screening tool in the study of coronary anomalies

Common Coronary Anomalies on MDCT

Coronary artery anomalies are rare, and the incidence is around 1 to 2% in the general population. Majority of the patients are asymptomatic and detected while investigating another clinical issue. A few anomalies may be life-threatening due to the malignant course with potential for ischemia and even sudden death. Multidetector computed tomography (MDCT) has high accuracy in detecting these anomalies because of volume rendering (VR) and multiplanar reconstruction (MPR). ‘High take-off’, origin of the coronary artery from the opposite or noncoronary cusp with anomalous course and coronary artery fistula are three most frequent anomalies. MDCT can be a useful screening tool in the study of coronary anomalies

Modeling specifications for HiVision Millimeter Wave Radar for multisensory Enhanced Vision Systems

A number of projects have been developed to increase flight safety and economy of aviation. The development and validation of systems for pilot assistance is also one field of interest. To improve the situational awareness of an aircrew during poor visibility, different approaches emerged during the past few years. Enhanced vision systems (EVS – based on sensor images) are one of those. Typically, Enhanced vision systems consist of two main parts- sensor vision and Synthetic vision. Sensor vision uses weather penetrating forward looking image sensors such as Forward Looking Infrared Radar (FLIR) and HiVision Millimeter Wave Radar (HiVision MMWR). The main contribution of this paper is to set up the procedure based on literature survey to model the HiVision Millimeter Wave Radar for Enhanced Vision Systems functionalities