FPGA Based Real Time Image Segmentation for Medical Data Processing

Arjunan, Vijaya R and Kumar, Vijaya V (2010) FPGA Based Real Time Image Segmentation for Medical Data Processing. In: Second International Conference on Advanced Computing and Communication Technologies for High Performance Applications, 7-9 Dec 2010.

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Medical imaging often involves the injection of contrast agents and subsequent analysis of tissue enhancement patterns. X-ray angiograms are projections of 3D reality into 2D representations; there is a fair amount of self occlusion among the vessels. Hence one cannot extract the vessels directly using the image intensities or gradients (edge) alone. Vessel extraction from angiogram images is useful for blood vessels measurement and computer visualizations of the coronary artery. This project describes the algorithm for automatic segmentation of coronary arteries in digital X-ray projections (coronary angiograms) .The pattern recognition technique used in this project is K-Means clustering. In this technique clusters are formed based on the minimum distance criteria with random seed point selection. As the dataset’s scale increases rapidly, it is difficult to use K-means and deal with massive data, so an improved K-means algorithm is proposed. The performance of the proposed algorithm is compared with other techniques.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: CT- Computed tomography , FPD - Field-Programmable Devices, PLA - Programmable Logic Array, PAL -Programmable Array Logic, CPLD- Complex Programmable Logic Devices, FPGA -Field Programmable Gate Array, RISC - Reduced Institution Set Computer .
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 29 Jul 2011 06:22
Last Modified: 29 Jul 2011 06:22
URI: http://eprints.manipal.edu/id/eprint/1023

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