IP Library › Granted Patent US 10,548,549
Granted Patent B2
US 10,548,549 · App. 15/669,829 · Granted Feb 4, 2020

Measuring breast density using breast computed tomography

Inventors: John M. Boone (Folsom, CA); Thomas R. Yellen-Nelson (Del Mar, CA)
Assignee: The Regents of the University of California
A61B6/482A61B6/037A61B6/0435A61B6/4417A61B6/502A61B6/584A61B8/0825A61B8/4416A61B6/03A61B6/12A61B6/405A61B6/4028A61B6/4423A61B6/5235
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Quick Facts
Patent No.
US 10,548,549
App. No.
15/669,829
Granted
Feb 4, 2020
Kind
B2
Abstract

A device and methods for performing a simulated CT biopsy on a region of interest on a patient. The device comprises a gantry ( 22 ) configured to mount an x-ray emitter ( 24 ) and CT detector ( 26 ) on opposing sides of the gantry, a motor ( 28 ) rotatably coupled to the gantry such that the gantry rotates horizontally about the region of interest, and a high resolution x-ray detector ( 172 ) positioned adjacent the CT detector in between the CT detector and the x-ray emitter.

Claims (103)

1. A method of measuring breast density, comprising:

(a) generating a three-dimensional volume data set of at least a portion of a breast;

(b) segmenting the three-dimensional volume data set into volume elements associated with glandular tissue and non-glandular tissue;

(c) removing volume elements associated with skin;

(d) calculating a volume of the portion of the breast associated with each of the glandular tissue and the non-glandular tissue; and

(e) outputting a breast density measurement being a function of the volume of the portion of the breast associated with each of the glandular tissue and the non-glandular tissue.

2. The method as recited in claim 1 , wherein segmenting the three-dimensional volume data set generates a histogram of the volume elements; and selects volume elements according to a threshold value distinguishing the glandular tissue and the non-glandular tissue.

3. The method as recited in claim 1 , wherein the step of removing volume elements associated with skin applies an erosion filter to the three-dimensional volume data set.

4. The method as recited in claim 1 , further comprising adjusting the breast density measurement according to a patient's age.

5. The method as recited in claim 4 , further comprising the step of outputting a standard deviation of the breast density measurement with respect to patients in a particular age group.

6. The method as recited in claim 1 further including the steps of comparing the breast density measurement to data of reference patients to output a risk factor indicating a relative risk of breast cancer for an individual patient.

7. The method as recited in claim 6 , wherein the comparing entails comparing the breast density measurement with a mean breast density value and a standard deviation of the mean breast density value of breast density measurements obtained from a plurality of individual reference patients grouped according to age.

8. An apparatus for measuring breast density comprising:

a table supporting a patient in a prone position with a breast;

an x-ray computed tomography (CT) scanner comprising an x-ray source and detector positioned to acquire a CT projection set about a horizontal axis around the breast; and

a computer receiving data from the x-ray computed tomography (CT) scanner programmed to:

generate a three-dimensional volume data set of at least a portion of the breast;

segment the three-dimensional volume data set into volume elements associated with glandular tissue and non-glandular tissue;

remove volume elements associated with skin;

calculate a volume of the portion of the breast associated with each of the glandular tissue and the non-glandular tissue; and

output a breast density measurement being a function of the volume of the portion of the breast associated with each of the glandular tissue and the non-glandular tissue.

9. The apparatus of claim 8 , wherein segmenting the three-dimensional volume data set generates a histogram of the volume elements; and selects volume elements according to a threshold value distinguishing the glandular tissue and the non-glandular tissue.

10. The apparatus of claim 8 , wherein the computer is further programmed to:

apply an erosion filter to the three-dimensional volume data set to remove the volume elements associated with skin.

11. The apparatus of claim 8 , wherein the computer is further programmed to:

adjust the breast density measurement according to a patient's age.

12. The apparatus of claim 11 , wherein the computer is further programmed to:

output a standard deviation of the breast density measurement with respect to patients in a particular age group.

13. The apparatus of claim 8 , wherein the computer is further programmed to:

compare the breast density measurement to data of reference patients, and

output a risk factor indicating a relative risk of breast cancer for an individual patient based on the comparing.

14. The apparatus of claim 13 , wherein the comparing entails comparing the breast density measurement with a mean breast density value and a standard deviation of the mean breast density value of breast density measurements obtained from a plurality of individual reference patients grouped according to age.

15. The apparatus of claim 8 further comprising:

a positron emission tomography (PET) detector positioned to acquire PET data of the breast and to transmit the data to the computer.

16. The apparatus of claim 15 , wherein the three-dimensional volume data set of at least the portion of the breast is generated based on data produced by the x-ray computed tomography (CT) scanner and the PET data acquired by the PET detector.

17. A method of measuring breast density, comprising:

(a) generating a three-dimensional volume data set of at least a portion of a breast;

(b) segmenting the three-dimensional volume data set into volume elements associated with glandular tissue and non-glandular tissue;

(c) calculating a volume of the portion of the breast associated with each of the glandular tissue and the non-glandular tissue;

(d) outputting a breast density measurement being a function of the volume of the portion of the breast associated with each of the glandular tissue and the non-glandular tissue; and

(e) adjusting the breast density measurement according to a patient's age.

18. The method as recited in claim 17 , wherein segmenting the three-dimensional volume data set generates a histogram of the volume elements; and selects volume elements according to a threshold value distinguishing the glandular tissue and the non-glandular tissue.

19. The method as recited in claim 17 , further including the step of removing volume elements associated with skin before step (c),

wherein the step of removing volume elements associated with skin applies an erosion filter to the three-dimensional volume data set.

20. The method as recited in claim 17 , further comprising the step of outputting a standard deviation of the breast density measurement with respect to patients in a particular age group.

21. The method as recited in claim 17 , further including the steps of comparing the breast density measurement to data of reference patients to output a risk factor indicating a relative risk of breast cancer for an individual patient.

22. The method as recited in claim 21 , wherein the comparing entails comparing the breast density measurement with a mean breast density value and a standard deviation of the mean breast density value of breast density measurements obtained from a plurality of individual reference patients grouped according to age.

23. An apparatus for measuring breast density comprising:

a table supporting a patient in a prone position with a breast;

an x-ray computed tomography (CT) scanner comprising an x-ray source and detector positioned to acquire a CT projection set about a horizontal axis around the breast; and

a computer receiving data from the x-ray computed tomography (CT) scanner programmed to:

generate a three-dimensional volume data set of at least a portion of the breast;

segment the three-dimensional volume data set into volume elements associated with glandular tissue and non-glandular tissue;

calculate a volume of the portion of the breast associated with each of the glandular tissue and the non-glandular tissue;

output a breast density measurement being a function of the volume of the portion of the breast associated with each of the glandular tissue and the non-glandular tissue; and

adjust the breast density measurement according to a patient's age.

24. The apparatus of claim 23 , wherein segmenting the three-dimensional volume data set generates a histogram of the volume elements; and selects volume elements according to a threshold value distinguishing the glandular tissue and the non-glandular tissue.

25. The apparatus of claim 23 , wherein the computer is further programmed to:

remove volume elements associated with skin before calculating the volume of the portion of the breast associated with each of the glandular tissue and the non-glandular tissue; and

apply an erosion filter to the three-dimensional volume data set to remove the volume elements associated with skin.

26. The apparatus of claim 23 , wherein the computer is further programmed to:

output a standard deviation of the breast density measurement with respect to patients in a particular age group.

27. The apparatus of claim 23 , wherein the computer is further programmed to:

compare the breast density measurement to data of reference patients, and

output a risk factor indicating a relative risk of breast cancer for an individual patient based on the comparing.

28. The apparatus of claim 27 , wherein the comparing entails comparing the breast density measurement with a mean breast density value and a standard deviation of the mean breast density value of breast density measurements obtained from a plurality of individual reference patients grouped according to age.

29. The apparatus of claim 23 further comprising:

a positron emission tomography (PET) detector positioned to acquire PET data of the breast and to transmit the data to the computer.

30. The apparatus of claim 29 , wherein the three-dimensional volume data set of at least the portion of the breast is generated based on data produced by the x-ray computed tomography (CT) scanner and the PET data acquired by the PET detector.

31. An apparatus for measuring breast density comprising:

a table supporting a patient in a prone position with a breast;

an x-ray computed tomography (CT) scanner comprising an x-ray source and detector positioned to acquire a CT projection set about a horizontal axis around the breast; and

a computer receiving data from the x-ray computed tomography (CT) scanner programmed to:

generate a three-dimensional volume data set of at least a portion of the breast;

segment the three-dimensional volume data set into volume elements associated with glandular tissue and non-glandular tissue;

calculate a volume of the portion of the breast associated with each of the glandular tissue and the non-glandular tissue;

output a breast density measurement being a function of the volume of the portion of the breast associated with each of the glandular tissue and the non-glandular tissue;

compare the breast density measurement to data of reference patients; and

output a risk factor indicating a relative risk of breast cancer for an individual patient based on the comparing,

wherein the comparing entails comparing the breast density measurement with a mean breast density value and a standard deviation of the mean breast density value of breast density measurements obtained from a plurality of individual reference patients grouped according to age.

32. The apparatus of claim 31 , wherein segmenting the three-dimensional volume data set generates a histogram of the volume elements; and selects volume elements according to a threshold value distinguishing the glandular tissue and the non-glandular tissue.

33. The apparatus of claim 31 , wherein the computer is further programmed to:

remove volume elements associated with skin before calculating the volume of the portion of the breast associated with each of the glandular tissue and the non-glandular tissue; and

apply an erosion filter to the three-dimensional volume data set to remove the volume elements associated with skin.

34. The apparatus of claim 31 , wherein the computer is further programmed to:

adjust the breast density measurement according to a patient's age; and

output a standard deviation of the breast density measurement with respect to patients in a particular age group.

35. The apparatus of claim 31 further comprising:

a positron emission tomography (PET) detector positioned to acquire PET data of the breast and to transmit the data to the computer.

36. The apparatus of claim 35 , wherein the three-dimensional volume data set of at least the portion of the breast is generated based on data produced by the x-ray computed tomography (CT) scanner and the PET data acquired by the PET detector.

37. A method of measuring breast density, comprising:

(a) generating a three-dimensional volume data set of at least a portion of a breast;

(b) segmenting the three-dimensional volume data set into volume elements associated with glandular tissue and non-glandular tissue;

(c) calculating a volume of the portion of the breast associated with each of the glandular tissue and the non-glandular tissue;

(d) outputting a breast density measurement being a function of the volume of the portion of the breast associated with each of the glandular tissue and the non-glandular tissue;

(e) comparing the breast density measurement to data of reference patients to output a risk factor indicating a relative risk of breast cancer for an individual patient; and

(f) outputting the risk factor indicating the relative risk of breast cancer for the individual patient based on the comparing,

wherein the comparing entails comparing the breast density measurement with a mean breast density value and a standard deviation of the mean breast density value of breast density measurements obtained from a plurality of individual reference patients grouped according to age.

38. The method as recited in claim 37 , wherein segmenting the three-dimensional volume data set generates a histogram of the volume elements; and selects volume elements according to a threshold value distinguishing the glandular tissue and the non-glandular tissue.

39. The method as recited in claim 37 , further including the step of removing volume elements associated with skin before step (c),

wherein the step of removing volume elements associated with skin applies an erosion filter to the three-dimensional volume data set.

40. The method as recited in claim 37 , further comprising adjusting the breast density measurement according to a patient's age.

41. The method as recited in claim 40 , further comprising the step of outputting a standard deviation of the breast density measurement with respect to patients in a particular age group.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 2, 2017
From: BOONE, JOHN M.; YELLEN-NELSON, THOMAS R.
To: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Reel/Frame 043752/0658 →
Continuity (3)
Division 11913494
Provisional Application 60677704 · May 3, 2005
Related Publication 20180008220A1 · Jan 11, 2018