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2003

Analysis of Four-Dimensional Cardiac Data Sets Using Skeleton-Based Segmentation

9 years 11 months ago
Analysis of Four-Dimensional Cardiac Data Sets Using Skeleton-Based Segmentation
Computer-aided analysis of four-dimensional tomography data has become an important tool in modern cardiology. In order to examine the capability and health of a patient’s cardiac system, scans are taken at a number of time points evenly distributed over one cardiac cycle. A key task for understanding the dynamics involved within a recorded cardiac cycle is to segment the acquired data to identify objects of interest in each volume of the sequence. This paper presents an algorithm to segment the heart muscle and the left ventricle from a sequence of cardiac CT images using only a minimum of user interaction. Furthermore, the paper introduces methods to process the segmentation result for extraction of important properties of the cardiac cycle, which are helpful for diagnosis. Keywords Heart Function Analysis, Myocardium, Left Ventricle, Segmentation
André Neubauer, Rainer Wegenkittl
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2003
Where WSCG
Authors André Neubauer, Rainer Wegenkittl
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