Title :
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.
fDate :
6/27/1905 12:00:00 AM
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;
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
DOI :
10.1109/IEMBS.2005.1617124
