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:
Dec. 04, 2018

Filed:

May. 11, 2015
Applicant:

Purdue Research Foundation, West Lafayette, IN (US);

Inventors:

Garth Jason Simpson, West Lafayette, IN (US);

Ryan Douglas Muir, West Lafayette, IN (US);

Nicholas Roman Pogranichniy, West Lafayette, IN (US);

Assignee:

PURDUE RESEARCH FOUNDATION, West Lafayette, IN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01T 1/36 (2006.01); G01T 1/24 (2006.01); G01T 1/17 (2006.01);
U.S. Cl.
CPC ...
G01T 1/24 (2013.01); G01T 1/17 (2013.01); G01T 1/36 (2013.01);
Abstract

The present disclosure provides a system and method for efficiently mining multi-threshold measurements acquired using photon counting pixel-array detectors for spectral imaging and diffraction analyses. Images of X-ray intensity as a function of X-ray energy were recorded on a 6 megapixel X-ray photon counting array detector through linear fitting of the measured counts recorded as a function of counting threshold. An analytical model is disclosed for describing the probability density of detected voltage, utilizing fractional photon counting to account for edge/corner effects from voltage plumes that spread across multiple pixels. Three-parameter fits to the model were independently performed for each pixel in the array for X-ray scattering images acquired for 13.5 keV and 15.0 keV X-ray energies. From the established pixel responses, multi-threshold composite images produced from the sum of 13.5 keV and 15.0 keV data can be analytically separated to recover the monochromatic images through simple linear fitting.


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