Automatic MRI Meningioma Segmentation Using Estimation Maximization

Author

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

Author_Institution

Graduate Inst. of Med. Informatics, Taipei Medical Univ.

fYear

2005

fDate

6/27/1905 12:00:00 AM

Firstpage

3074

Lastpage

3077

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

Keywords

biomedical MRI; brain; cancer; image segmentation; medical image processing; optimisation; tumours; automatic MRI meningioma segmentation; brain; computer assisted surgical planning; estimation maximization; image guided technology; knowledge-based techniques; neurosurgery; tumor; Biomedical imaging; Histograms; Hospitals; Image processing; Image segmentation; Magnetic resonance imaging; Neoplasms; Neurosurgery; Surgery; Technology planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1617124

Filename

1617124