MRI brain image segmentation using an AM-FM model

Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154) Pub Date : 2000-10-29 DOI:10.1109/ACSSC.2000.910646

M.S. Patichis, H. Petropoulos, W. Brooks

引用次数: 0

Abstract

MRI brain images are characterized by non-stationary components that make fully automated segmentation a challenging task. An AM-FM model is used to model these non-stationarities. Using the AM-FM model, a new, fully automated texture segmentation system is used to automatically segment the cerebellum from a 3-D set of MRI brain images.

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采用AM-FM模型的MRI脑图像分割

MRI脑图像具有非平稳成分的特点，使全自动分割成为一项具有挑战性的任务。采用AM-FM模型对这些非平稳性进行建模。利用AM-FM模型，一种新的全自动纹理分割系统被用于从一组三维MRI脑图像中自动分割小脑。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154)

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