Invention Grant
- Patent Title: Hyperspectral imaging system
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Application No.: US16348102Application Date: 2017-11-07
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Publication No.: US10803558B2Publication Date: 2020-10-13
- Inventor: Francesco Cutrale , Scott E. Fraser
- Applicant: University of Southern California
- Applicant Address: US CA Los Angeles
- Assignee: UNIVERSITY OF SOUTHERN CALIFORNIA
- Current Assignee: UNIVERSITY OF SOUTHERN CALIFORNIA
- Current Assignee Address: US CA Los Angeles
- Agency: McDermott Will & Emery LLP
- International Application: PCT/US2017/060462 WO 20171107
- International Announcement: WO2018/089383 WO 20180517
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T5/00 ; G01J3/28 ; G01J3/44 ; G01N21/64 ; G02B21/08 ; G02B21/16 ; G02B21/36 ; G06T5/10 ; H04N5/33 ; H04N9/68 ; G01J3/00 ; A61B5/00 ; G02B21/00

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.
Public/Granted literature
- US20190287222A1 HYPERSPECTRAL IMAGING SYSTEM Public/Granted day:2019-09-19
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