US 11,734,816 B2
Tray inserts and image quality, systems, methods and algorithms for quantifying tray's impact using the same
Joseph Matthew Cochran, Egg Harbor Township, NJ (US); Matthew Robert Aderholdt, Vineland, NJ (US); Jesse Thomas Buxton, Columbus, OH (US); Laura Lee Strang Aume, Circleville, OH (US); John Tatarowicz, Blackwood, NJ (US); Rodney Hallgren, Philadelphia, PA (US); and John W. Penwell, Columbus, OH (US)
Assigned to Battelle Memorial Institute, Columbus, OH (US)
Filed by Battelle Memorial Institute, Columbus, OH (US)
Filed on Jul. 13, 2022, as Appl. No. 17/863,678.
Application 17/863,678 is a continuation of application No. 17/365,693, filed on Jul. 1, 2021, granted, now 11,430,109.
Claims priority of provisional application 63/047,639, filed on Jul. 2, 2020.
Prior Publication US 2022/0392044 A1, Dec. 8, 2022
Int. Cl. G06K 9/00 (2022.01); G06T 7/00 (2017.01); G01N 23/10 (2018.01); G01N 23/046 (2018.01); G01N 23/083 (2018.01)
CPC G06T 7/001 (2013.01) [G01N 23/046 (2013.01); G01N 23/083 (2013.01); G01N 23/10 (2013.01); G01N 2223/04 (2013.01); G01N 2223/3308 (2013.01); G01N 2223/419 (2013.01); G01N 2223/643 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/30164 (2013.01); G06T 2207/30168 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A computer implemented method to quantify X-ray scanner system's image quality impact by a candidate tray, the method comprising:
executing by at least a processor in a computer, at least one code stored in a non-transitory computer-readable medium which causes the computer to control an X-ray scanner system to quantify candidate tray impact, comprising:
collecting baseline image data for the X-ray scanner system that comprises characteristic image quality data collected from a plurality of certified trays that have been scanned with a plurality of selected tray inserts;
collecting one or more candidate trays image data for the X-ray scanner system that comprises characteristic image quality data collected from the one or more candidate trays that have been scanned with a same plurality of selected tray inserts;
extracting image quality metrics for both the baseline image data and the one or more candidate trays image data;
performing statistical analysis using the image quality metrics within a volume of interest from both the baseline image data and the candidate trays image data; and
reporting or certifying the one or more candidate tray suitable for use in the X-ray scanner system based on the image quality metrics of the one or more candidate tray falling within a mean and a standard deviation of CTN values within the volume of interest.