Abstract
In the present research a parallel algorithm for medical image processing has been proposed, which allows 3D quantitative analysis of left ventricular cardiac wall motion in real time. It is a fundamental task in evaluating a lot of indexes useful to perform diagnosis of important diseases. However, such analysis involves expensive tasks in terms of computational time: tridimensional segmentation and an accurate cavity contour detection during the entire cardiac cycle. In this paper an implementation of a dynamic quantitative analysis algorithm on low-cost Shared Memory Processor machine is described. In order to test the developed system in actual environment, a dynamic sequence of 3D data volume, derived from Magnetic Resonance (MR) cardiac images, has been processed.
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© 1998 Springer-Verlag Berlin Heidelberg
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Positano, V., Santarelli, M.F., Landini, L., Benassi, A. (1998). Fast and quantitative analysis of 4D cardiac images using a SMP architecture. In: Kågström, B., Dongarra, J., Elmroth, E., Waśniewski, J. (eds) Applied Parallel Computing Large Scale Scientific and Industrial Problems. PARA 1998. Lecture Notes in Computer Science, vol 1541. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095367
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DOI: https://doi.org/10.1007/BFb0095367
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