Improving Detection of Axillary Lymph Nodes by Computer-Aided Kinetic Feature Identification in Positron Emission Tomography
Abstract
The goal of this project is to improve detection of metastatic axillary breast cancer through sophisticated physiological modeling and statistical signal processing techniques. The major focus of Year 3 was to improved the feature extraction in visible, primary tumors by adding the factor analysis to the conventional ROI averaging method and to develop the optimal feature-guided filtering criteria for metastasis screening, which were applied to suppress the interference-plus-noise In dynamic data proceeding to the hypothesis test detection. Two types of filters were derived with/without using the physiological features extracted from normal tissues.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 2002
- Accession Number
- ADA412153
Entities
People
- Xiaoli Yu
Organizations
- University of Southern California