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  • 标题:Clustering and Enhancement Methods for Extracting 3D Brain Tumor of MRI Images
  • 本地全文:下载
  • 作者:S.M. Ali ; Loay Kadom Abood ; Rabab Saadoon Abdoon
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:9
  • 出版社:S.S. Mishra
  • 摘要:Three-dimensional images of brain tumors are extracted from a series of MRIs of successive T1-weighted slices; by implementing K-Means clustering, Fuzzy C-Mean (FCM), and an enhancement method. The MRIs are pre-processed through bilateral filtering to reduce noise and retaining the edges between brain tissues. The K-Means is used to segment the image into five and six clusters, while the FCM is used to produce six clusters. Spatial enhancement technique is utilized to highlighting the ba nd density of the region of interest (tumor). Morphological operations are used to extract the tumor object of each slice. The tumor contours are used to create 3D view of the tumor. The relative size of the tumor is measured after divestiture the skull tissue. The statistical measurements showed that the K-Means and FCM algorithms produced similar results when compared with the enhancem ent method
  • 关键词:Brain Tumor; Clustering; FCM; K-Means; Morphological Operations; MRI
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