Automatic MRI meningioma segmentation using estimation maximization

Yi Fen Tsai, I-Jen Chiang, Yeng Chi Lee, Chun Chih Liao, Kao Lung Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

With the advancement of the imaging facility and image processing technique, computer assisted surgical planning and image guided technology have become increasingly used in neurosurgery. For MRI has the characteristic of multi-spectral image data., so knowledge-base techniques is widely used in brain MRI segmentation. Here we recognize the location of the tumor automatically and provide an accurate result by Estimation Maximization method. Simultaneously, promote the efficiency of reading image as well.

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages3074-3077
Number of pages4
Volume7 VOLS
Publication statusPublished - 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period9/1/059/4/05

ASJC Scopus subject areas

  • Bioengineering

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  • Cite this

    Tsai, Y. F., Chiang, I-J., Lee, Y. C., Liao, C. C., & Wang, K. L. (2005). Automatic MRI meningioma segmentation using estimation maximization. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 7 VOLS, pp. 3074-3077). [1617124]