Data Weighting for Principal Component Noise Reduction in Contrast Enhanced Ultrasound
Pulse inversion ultrasound is a mechanism for preferentially displaying contrast agent in blood vessels while suppressing signal from tissue. We seek a method for identifying and segmenting areas of the liver with similar statistically significant time intensity curves. As a first step in this process, a method of weighting Rayleigh distributed ultrasound image data before principal components analysis is presented. Simulation studies show that relative mean squared error can be reduced by 14% when the correct number of dimensions in selected. Our method is tested on an in vitro ultrasound phantom showing slightly increased error suppression, and is demonstrated on a clinical liver scan, showing decreased correlation between signals in the low intensity range.
KeywordsPulse Inversion Time Intensity Curve Significant Time Intensity Curve Weighted Principal Component Analysis Contrast Ultrasound Image
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