US 11,730,436 B2
Mammography apparatus
Miriam Sklair-Levy, Mevasseret Zion (IL); Arnaldo Mayer, Ramat Hasharon (IL); and Shmuel Yitzhak Pfeffer, Lod (IL)
Assigned to Tel HaShomer Medical Research, Infrastructure and Services Ltd., Ramat Gan (IL)
Filed by Tel HaShomer Medical Research, Infrastructure and Services Ltd., Ramat Gan (IL)
Filed on Dec. 25, 2022, as Appl. No. 18/88,569.
Application 18/088,569 is a continuation of application No. 17/163,934, filed on Feb. 1, 2021, granted, now 11,534,126.
Application 17/163,934 is a continuation of application No. 16/699,660, filed on Dec. 1, 2019, granted, now 10,905,392, issued on Feb. 2, 2021.
Application 16/699,660 is a continuation of application No. 15/750,514, granted, now 10,499,866, issued on Dec. 10, 2019, previously published as PCT/IB2016/054707, filed on Aug. 4, 2016.
Claims priority of provisional application 62/260,549, filed on Nov. 29, 2015.
Claims priority of provisional application 62/201,774, filed on Aug. 6, 2015.
Prior Publication US 2023/0127530 A1, Apr. 27, 2023
Int. Cl. A61B 6/04 (2006.01); A61B 6/00 (2006.01); G06T 7/00 (2017.01); G06T 7/40 (2017.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06V 10/44 (2022.01); G06V 10/42 (2022.01); G06V 10/50 (2022.01); G06T 7/44 (2017.01); G06V 10/46 (2022.01); A61B 6/12 (2006.01)
CPC A61B 6/502 (2013.01) [A61B 6/0414 (2013.01); A61B 6/0435 (2013.01); A61B 6/481 (2013.01); A61B 6/5205 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/44 (2017.01); G06V 10/421 (2022.01); G06V 10/46 (2022.01); G06V 10/50 (2022.01); A61B 6/12 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30068 (2013.01); G06V 2201/03 (2022.01)] 18 Claims
OG exemplary drawing
 
1. A method of processing a given region of interest (ROI) of an X-ray image of a person's breast to determine presence of a malignancy, the X-ray image having X-ray pixels that indicate intensity of X-rays that passed through the breast to generate the image, the method comprising:
for each given X-ray pixel in the given ROI and each of a selection of J(r) X-ray pixels at respective pixel radii PR(r), 1≤r≤R, from the given x-ray pixel, determining a binary number that provides a measure X-ray intensity indicated by the selected X-ray pixel relative to X-ray intensity indicated by the given X-ray pixel;
using the determined binary numbers for the J(r) selected X-ray pixels at each pixel radius PR(r) to determine a decimal number for the pixel radius PR(r);
histogramming the frequency of occurrence of values of the determined decimal numbers as a function of pixel radius for the given X-ray pixels in the given ROI;
determining a texture feature vector, for the given ROI having components that are equal to the frequencies of occurrence for a selection of M histogrammed values; and
processing the histogrammed frequencies of occurrence for the M values to determine whether the given ROI is malignant.