Evaluation of an X-ray image of a breast produced during a mammography

US10438353B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10438353-B2
Application numberUS-201816191797-A
CountryUS
Kind codeB2
Filing dateNov 15, 2018
Priority dateMay 6, 2014
Publication dateOct 8, 2019
Grant dateOct 8, 2019

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Abstract

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The embodiments relate to a method, an apparatus, and a computer program for evaluating an x-ray image of a breast produced during a mammography. In order to simplify the evaluation of such an x-ray image in respect of the breast density, a method is proposed to automatically determine the masking risk caused by the mammographically dense tissue and to use this for categorizing, describing, and/or representing the breast density.

First claim

Opening claim text (preview).

The invention claimed is: 1. A method for evaluating an x-ray image of a breast produced during mammography, the method comprising: automatically producing, by a processor, a masking risk map for a region of the breast depicted in the x-ray image, wherein the producing takes into account a connectivity of dense breast tissue, wherein the masking risk map comprises masking risk values that quantify a masking risk, and wherein the masking risk map further comprises one or more categorizing levels of masking risk; automatically determining, by the processor, an overall masking risk of the breast caused by the dense breast tissue; and generating a breast density report using the overall masking risk. 2. The method of claim 1 , wherein the connectivity of the dense breast tissue is taken into account by applying a morphological opening method. 3. The method of claim 2 , wherein a structure element used within a scope of the morphological opening method is disk-shaped and radii of structure elements used for ablation and addition differ from one another. 4. The method of claim 1 , further comprising: automatically producing the masking risk values based on the masking risk map. 5. The method of claim 4 , further comprising: using the masking risk values to assign breast density categories to regions of the breast depicted in the x-ray image. 6. The method of claim 5 , wherein the breast density report comprises the assigned breast density categories for the regions of the breast depicted in the x-ray image. 7. The method of claim 5 , further comprising: automatically producing a description of a position, a distribution, or both the position and the distribution of the dense breast tissue based on the masking risk map. 8. The method of claim 7 , wherein the breast density report comprises the assigned breast density categories for the regions of the breast depicted in the x-ray image and the description of the position, the distribution, or both the position and the distribution of the dense breast tissue. 9. The method of claim 1 , further comprising: automatically producing a description of a position, a distribution, or both the position and the distribution of the dense breast tissue based on the masking risk map. 10. The method of claim 1 , further comprising: displaying the masking risk map on a screen together with the x-ray image. 11. The method of claim 1 , wherein data from a glandularity map is used in the producing of the masking risk map. 12. The method of claim 11 , wherein the glandularity map is processed for a plurality of different threshold planes, and wherein a binary image is produced for each threshold plane, each binary image being based on breast density values within the respective threshold plane. 13. The method of claim 1 , wherein the breast density report comprises descriptions of the dense breast tissue and volumetric breast densities determined for the region of the breast depicted in the x-ray image. 14. An apparatus for evaluating an x-ray image of a breast produced during mammography, the apparatus comprising: a processor configured to: produce a masking risk map for a region of the breast depicted in the x-ray image, wherein the producing takes into account a connectivity of dense breast tissue, wherein the masking risk map comprises masking risk values that quantify a masking risk, and wherein the masking risk map further comprises one or more categorizing levels of masking risk; determine an overall masking risk of the breast caused by the dense breast tissue; and generate a breast density report using the overall masking risk. 15. A non-transitory computer-readable storage medium stored on a computer for evaluating an x-ray image of a breast produced during mammography, the computer-readable storage medium comprising computer program instructions configured to, when executed on the computer, cause the computer to at least perform: produce a masking risk map for a region of the breast depicted in the x-ray image, wherein the producing takes into account a connectivity of dense breast tissue, wherein the masking risk map comprises masking risk values that quantify a masking risk, and wherein the masking risk map further comprises one or more categorizing levels of masking risk; determine an overall masking risk of the breast caused by the dense breast tissue; and generate a breast density report using the overall masking risk.

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What does patent US10438353B2 cover?
The embodiments relate to a method, an apparatus, and a computer program for evaluating an x-ray image of a breast produced during a mammography. In order to simplify the evaluation of such an x-ray image in respect of the breast density, a method is proposed to automatically determine the masking risk caused by the mammographically dense tissue and to use this for categorizing, describing, and…
Who is the assignee on this patent?
Siemens Healthcare Gmbh
What technology area does this patent fall under?
Primary CPC classification G06T7/0012. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Oct 08 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).