The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 22, 2018

Filed:

Apr. 24, 2015
Applicants:

Arizona Board of Regents on Behalf of Arizona State University, SWcottsdale, AZ (US);

Mayo Foundation for Medical Education and Research, Rochester, MN (US);

Inventors:

Changching Chi, Loton Township, TW;

Nima Tajbakhsh, Tempe, AZ (US);

Haripriya Sharma, Tempe, AZ (US);

Suryakanth Gurudu, Phoenix, AZ (US);

Jianming Liang, Scottsdale, AZ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/36 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/30028 (2013.01);
Abstract

A system for quality assessment of optical colonoscopy images includes an input device configured to acquire a series of images during an optical colonoscopy. A computing device is coupled in communication with the input device and configured to acquire from the input device an input image from the series of images captured during the optical colonoscopy; form a cell grid including a plurality of cells on the input image; perform an image transformation onto the input image with each cell of the plurality of cells within the cell grid; reconstruct each cell to form a reconstructed image; compute a difference image of a sum of a plurality of differences between the input image and the reconstructed image; compute a histogram of the difference image; and apply a probabilistic classifier to the histogram to calculate an informativeness score for the input image.


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