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:
Oct. 13, 2020

Filed:

Nov. 07, 2017
Applicant:

University of Southern California, Los Angeles, CA (US);

Inventors:

Francesco Cutrale, San Gabriel, CA (US);

Scott E. Fraser, Glendale, CA (US);

Assignee:

UNIVERSITY OF SOUTHERN CALIFORNIA, Los Angeles, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 5/00 (2006.01); G01J 3/28 (2006.01); G01J 3/44 (2006.01); G01N 21/64 (2006.01); G02B 21/08 (2006.01); G02B 21/16 (2006.01); G02B 21/36 (2006.01); G06T 5/10 (2006.01); H04N 5/33 (2006.01); H04N 9/68 (2006.01); G01J 3/00 (2006.01); A61B 5/00 (2006.01); G02B 21/00 (2006.01);
U.S. Cl.
CPC ...
G06T 5/002 (2013.01); A61B 5/0075 (2013.01); G01J 3/00 (2013.01); G01J 3/2823 (2013.01); G01J 3/4406 (2013.01); G01N 21/6458 (2013.01); G02B 21/00 (2013.01); G02B 21/08 (2013.01); G02B 21/16 (2013.01); G02B 21/36 (2013.01); G06T 5/10 (2013.01); H04N 5/332 (2013.01); H04N 9/68 (2013.01); G01J 2003/2826 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10036 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/10064 (2013.01); G06T 2207/10152 (2013.01); G06T 2207/20056 (2013.01); G06T 2207/30024 (2013.01);
Abstract

This invention relates to a hyperspectral imaging system for denoising and/or color unmixing multiple overlapping spectra in a low signal-to-noise regime with a fast analysis time. This system may be configured to carry out Hyper-Spectral Phasors (HySP) calculations to effectively analyze hyper-spectral time-lapse data. For example, this system may be configured to carry out Hyper-Spectral Phasors (HySP) calculations to effectively analyze five-dimensional (5D) hyper-spectral time-lapse data. Advantages of this imaging system may include: (a) fast computational speed, (b) the ease of phasor analysis, and (c) a denoising algorithm to obtain the minimally-acceptable signal-to-noise ratio (SNR). An unmixed color image of a target may be generated. These images may be used in diagnosis of a health condition, which may enhance a patient's clinical outcome and evolution of the patient's health.


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