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ISBI
2004
IEEE

Predictive Modeling of Anatomic Structures Using Canonical Correlation Analysis

14 years 11 months ago
Predictive Modeling of Anatomic Structures Using Canonical Correlation Analysis
In this paper, we present a method for predictive modeling of anatomic structures using canonical correlation analysis (CCA). Using this technique, certain anatomical structures, such as tumor-distorted structures, can be estimated from others by exploring the correlation between them, which has been determined from a set of training samples. Cortical surfaces and corpus callosum boundaries have been used to demonstrate the performance of the proposed method in predictive modeling. Applications of this method are in estimating brain tissues obscured by tumors and surrounding edema, in detecting abnormal structures, and in formulating alternate forms of statistically-based interpolation and regularization.
Tianming Liu, Dinggang Shen, Christos Davatzikos
Added 20 Nov 2009
Updated 20 Nov 2009
Type Conference
Year 2004
Where ISBI
Authors Tianming Liu, Dinggang Shen, Christos Davatzikos
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