Using an MM-principle to enforce a sparsity constraint on fast image data estimation from large image data sets

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United States of America Patent

PATENT NO 9864046
APP PUB NO 20160202346A1
SERIAL NO

14305934

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ATTORNEY / AGENT: (SPONSORED)

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The mathematical majorize-minimize principle is applied in various ways to process the image data to provide a more reliable image from the backscatter data using a reduced amount of memory and processing resources. A processing device processes the data set by creating an estimated image value for each voxel in the image by iteratively deriving the estimated image value through application of a majorize-minimize principle to solve a maximum a posteriori (MAP) estimation problem associated with a mathematical model of image data from the data. A prior probability density function for the unknown reflection coefficients is used to apply an assumption that a majority of the reflection coefficients are small. The described prior probability density functions promote sparse solutions automatically estimated from the observed data.

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HOWARD UNIVERSITY2400 SIXTH STREET NW SUITE 321 WASHINGTON DC 20059

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Anderson, John M M Washington, US 4 26
Ndoye, Mandoye Silver Spring, US 3 17
Ode, Oludotun Atlanta, US 1 7
Ogworonjo, Henry C Washington, US 1 7

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