GPU -based Fuzzy C Means Clustering Model For Brain MR Image

CHE-LUN, HUNG and CHIA-CHEN, LIN and JIEH-SHAN, YEH and YAW-LING, LIN and YU-CHEN, HU and YUAN-HUAI, WU (2015) GPU -based Fuzzy C Means Clustering Model For Brain MR Image. In: Third International Conference on Advances in Computing, Communication and Information Technology- CCIT 2015, 26 - 27 May,2015, Birmingham B42 2SU, UNITED KINGDOM.

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In the computer aided medical image process, image segmentation is always required as a preprocess stage. Fuzzy c-means (FCM) clustering algorithm has been commonly used in many medical image segmentations, particularly in the analysis of magnetic resonance (MR) brain image. However, all of these FCM methods are computation consuming that is difficult to be used in real time application. In the paper, we proposed a Parallel FCM algorithm based on graphic process units (GPUs) to accelerate computation speed of timeconsuming FCM applications. The experimental results show that the proposed algorithm can reduce the computational cost dramatically.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Fuzzy C-Means, Magnetic Resonanace, Brain, White Matter, GPU, Parallel Processing
Depositing User: Mr. John Steve
Date Deposited: 30 Apr 2019 07:49
Last Modified: 30 Apr 2019 07:49

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