US 12,067,712 B2
Complex system for contextual mask generation based on quantitative imaging
Gabriel Popescu, Champaign, IL (US); Mikhail Eugene Kandel, Champaign, IL (US); Yuchen He, Urbana, IL (US); Nahil A. Sobh, Urbana, IL (US); Matthew Benjamin Wheeler, Tolono, IL (US); and Marcello Rubessa, Middleton, WI (US)
Assigned to The Board of Trustees of the University of Illinois, Urbana, IL (US)
Filed by The Board of Trustees of the University of Illinois, Urbana, IL (US)
Filed on Feb. 18, 2021, as Appl. No. 17/178,486.
Claims priority of provisional application 62/978,194, filed on Feb. 18, 2020.
Prior Publication US 2021/0256692 A1, Aug. 19, 2021
Int. Cl. G06T 7/00 (2017.01)
CPC G06T 7/0012 (2013.01) [G06T 2207/10056 (2013.01); G06T 2207/10072 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method including:
obtaining specific quantitative image data captured via a quantitative imaging technique of a sample, the specific quantitative image data including, for each pixel of the specific quantitative image data, a quantitative parameter value and a pixel value, where the quantitative parameter value for the pixel is derived, at least in part, from the pixel value for the pixel;
determining a specific context mask for the specific quantitative image data by comparing the specific quantitative image data to previous quantitative image data for a previous sample via application of the specific quantitative image data to an input of a neutral network trained using constructed context masks generated based on the previous sample and the previous quantitative image data;
applying the specific context mask to the specific quantitative image data to determine a context value for the pixel, wherein the context value includes an expected dye concentration level at the pixel;
based on the pixel and the quantitative parameter value, determining a quantitative characterization for the context value; and
referencing the quantitative characterization against a structure integrity index to determine a condition of the sample.