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IVUS images are complicated medical datasets suffering from some artifacts caused by the data acquisition method of immersive heart inspection. Data reconciliation, which removes tracing and tracking uncertainties of these datasets, is an important step for the medical application of remodeling the arteries in virtual reality to aid diagnosing and treating heart diseases. This paper provides an empirical...
In this paper, we propose a colour based tracking algorithm for capturing the motion of human body parts for home-based rehabilitation. Different colour belts are attached to the body joints of interest and tracked in the video sequence. The performance of the colour-based tracking algorithm is analysed by comparing the tracking results with the results from a commercial marker-based tracking system,...
Automated lung nodule detection through computed tomography (CT) image segmentation is a new and exciting research area of medical image processing. We are currently developing a nodule detection system. For the testing stage we have developed a method to insert simulated lung nodules into CT images. The simulated nodules can be used to produce corner cases to provide a better test environment for...
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