Automatic MRI meningioma segmentation using estimation maximization

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

Automatic MRI meningioma segmentation using estimation maximization

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

研究成果: 書貢獻/報告類型 › 會議貢獻

摘要

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.

原文	英語
主出版物標題	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
頁面	3074-3077
頁數	4
卷	7 VOLS
出版狀態	已發佈 - 2005
事件	2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, 中国持續時間: 9月 1 2005 → 9月 4 2005

其他

其他	2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
國家/地區	中国
城市	Shanghai
期間	9/1/05 → 9/4/05

ASJC Scopus subject areas

生物工程

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Tsai, YF, Chiang, I-J, Lee, YC, Liao, CC & Wang, KL 2005, Automatic MRI meningioma segmentation using estimation maximization. 於 Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 卷 7 VOLS, 1617124, 頁 3074-3077, 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, Shanghai, 中国, 9/1/05.

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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.",

author = "Tsai, {Yi Fen} and I-Jen Chiang and Lee, {Yeng Chi} and Liao, {Chun Chih} and Wang, {Kao Lung}",

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AU - Chiang, I-Jen

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BT - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

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ER -

Automatic MRI meningioma segmentation using estimation maximization

摘要

其他

ASJC Scopus subject areas

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