title: Automatic MRI meningioma segmentation using estimation maximization.
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.
authors.affiliation: Graduate Institute of Medical Informatics, Taipei Medical University.
authors.forename: Yi-Fen
authors.initials: YF
authors.lastname: Tsai
authors.forename: I-J
authors.initials: IJ
authors.lastname: Chiang
authors.forename: Yeng-Chi
authors.initials: YC
authors.lastname: Lee
authors.forename: Chun-Chih
authors.initials: CC
authors.lastname: Liao
authors.forename: Kao-Lung
authors.initials: KL
authors.lastname: Wang