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US 10,499,866 B2Granted
Mammography apparatus
AssigneeTel HaShomer Medical Research Infrastructure and Services Ltd.
InventorsMiriam Sklair-Levy, Arnaldo Mayer, Shmuel Yitzhak Pfeffer
Life of this patent
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Abstract
A method of diagnosing breast cancer, the method comprising: acquiring a contrast enhanced region of interest (CE-ROI) comprised in an X-ray image of a patient's breast, the X-ray image comprising X-ray pixels that indicate intensity of X-rays that passed through the breast to generate the image; generating a texture feature vector (TF) having components based on the indications of intensity provided by a plurality of X-ray pixels in the CE-ROI; and using a classifier to classify the texture feature vector TF to determine whether the CE-ROI is malignant.
Claims16
A method of diagnosing breast cancer, the method comprising:
- acquiring a contrast enhanced region of interest (CE-ROI) comprised in an X-ray image of a patient's breast, the X-ray image comprising X-ray pixels that indicate intensity of X-rays that passed through the breast to generate the image;
- determining a texture neighborhood for each of the plurality of X-ray pixels, the texture neighborhood for a given X-ray pixel of the plurality of X-ray pixels extending to a bounding pixel radius of BPR pixels from the given pixel;
- selecting a plurality of R different pixel radii PR(r), 1≤r≤R, in the texture neighborhood, for which PR(r)<PR(r+1) and PR(R)=BPR;
- determining values for a number of M representative bins of a texture vector histogram HTV(T) having a bin length in number of bins T equal to a sum over r from 1 to R of 2{circumflex over ( )}(r), where J(r) is a number of X-ray pixels at radius r selected for processing, and values HTV(t) 1≤t≤T that are a function of texture vectors TV determined for the texture neighborhoods of a plurality of pixels in the CE-ROI
- generating a texture feature vector (TF) having components based on at least a portion of the values determined for the M representative bins;
- and
- using a classifier to classify the texture feature vector TF to determine whether the CE-ROI is malignant.
4 more elements
A method of diagnosing breast cancer, the method comprising:
- acquiring a contrast enhanced region of interest (CE-ROI) comprised in an X-ray image of a patient's breast, the X-ray image comprising X-ray pixels that indicate intensity of X-rays that passed through the breast to generate the image;
- determining a texture neighborhood for each of the plurality of X-ray pixels, the texture neighborhood for a given X-ray pixel of the plurality of X-ray pixels extending to a bounding pixel radius of BPR pixels from the given pixel;
- generating a texture feature vector (TF) having components based on the indications of intensity provided by a plurality of X-ray pixels in the CE-ROI that are located within the texture neighborhood;
- determining a contour for the CE-ROI and a contour feature vector CF based on the contour and concatenating the texture feature vector TF and the contour feature vector CF to provide a feature vector CF-TF;
- and
- using a classifier to classify CF-TF to determine whether the CE-ROI is malignant.
3 more elements
A method of diagnosing breast cancer, the method comprising:
- acquiring a contrast enhanced region of interest (CE-ROI) comprised in an X-ray image of a patient's breast, the X-ray image comprising X-ray pixels that indicate intensity of X-rays that passed through the breast to generate the image;
- determining a texture neighborhood for each of the plurality of X-ray pixels, the texture neighborhood for a given X-ray pixel of the plurality of X-ray pixels extending to a bounding pixel radius of BPR pixels from the given pixel;
- generating a texture feature vector (TF) having components based on the indications of intensity provided by a plurality of X-ray pixels in the CE-ROI that are located within the texture neighborhood;
- determining a profile feature vector (PF) based on a personal profile of a patient for which the X-ray image was acquired;
- concatenating the profile feature vector PF with the texture feature vector TF to form a feature vector PF-TF;
- and
- using a classifier to classify PF-TF to determine whether the CE-ROI indicates a malignancy.
4 more elements
Apparatus for diagnosing breast cancer, the apparatus comprising:
- a source of X-rays;
- a controller configured to control the X-ray source to acquire an SCEDM X-ray image of a patient's breast the SCEDM X-ray image comprising X-ray pixels that indicate intensity of X-rays that passed through the breast to generate the image;
- and
- a controller comprising a set of instructions executable to process the SCEDM X-ray image to:
- acquire a contrast enhanced region of interest (CE-ROI) in the SCEDM X-ray image;
- determine a texture neighborhood for each of a plurality of X-ray pixels, in the CE-ROI the texture neighborhood for a given X-ray pixel of the plurality of X-ray pixels extending to a bounding pixel radius of BPR pixels from the given pixel;
- generate a texture feature vector (TF) having components based on the indications of intensity provided by a plurality of X-ray pixels in the CE-ROI that are located within the texture neighborhood;
- and
- use a classifier to classify the texture feature vector TF to determine whether the CE-ROI is malignant.
6 more elements
Dependencies are inferred from the claim text.