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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English
Title of host publication	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages	3074-3077
Number of pages	4
Volume	7 VOLS
Publication status	Published - 2005
Event	2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China Duration: Sept 1 2005 → Sept 4 2005

Other

Other	2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/Territory	China
City	Shanghai
Period	9/1/05 → 9/4/05

ASJC Scopus subject areas

Bioengineering

Cite this

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

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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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AB - 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.

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

T2 - 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005

Y2 - 1 September 2005 through 4 September 2005

ER -

Automatic MRI meningioma segmentation using estimation maximization

Abstract

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ASJC Scopus subject areas

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