New Software Assistants for Cardiovascular Diagnosis
An important design criterion for current application development in cardiac image analysis is the applicability in clinical routine as well as in research environments. We present two novel applications dedicated to diagnosis support of the coronary heart disease. CT data of coronary arteries and cardiac function as well as MR data of myocardial perfusion are processed for quantitative anatomical and functional analysis. Semi-automatic segmentation methods are provided for a reliable representation of the coronary arteries and the left ventricular myocardium. Furthermore, quantitative parameters of the coronary vessels and the myocardium are computed. The novel approach is a standardization of the multi-parameter representation using advanced visualization techniques, that reveals possible correlations between vascular morphometry, ventricular function, and myocardial perfusion. Both prototypical applications are based on the visual programming and prototyping platform MeVisLab.
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