Estimating visceral fat by dual-energy x-ray absorptiometry

Patent metadata

Field	Value
Publication number	US-9179873-B2
Application number	US-73005110-A
Country	US
Kind code	B2
Filing date	Mar 23, 2010
Priority date	Oct 4, 2004
Publication date	Nov 10, 2015
Grant date	Nov 10, 2015

Abstract

A system and a method of using dual-energy absoptiometry to estimate visceral fat metrics and display results, preferably as related to normative data. The process involves deriving x-ray measurements for respective pixel positions related to a two-dimensional projection image of a body slice containing visceral fat as well as subcutaneous fat; at least some of the measurements being dual-energy x-ray measurements, processing the measurements to derive estimates of metrics related to the visceral fat in the slice; and using the resulting estimates.

First claim

The invention claimed is:

1. A dual energy x-ray absorptiometry (DXA) method for determining visceral fat of a selected sub-volume of a visceral fat volume of a patient, which visceral fat volume is surrounded by a subcutaneous fat volume and together therewith forms a total volume of a length of the patient's body, wherein the sub-volume also contains material that is not visceral fat, comprising:
acquiring DXA measurements for respective pixel positions of a two-dimensional DXA projection image of said total volume, including measurements of the subcutaneous fat and the visceral fat in the total volume, thereby forming a two-dimensional DXA image showing the subcutaneous fat and visceral fat of the length of the patient's body;
computer processing said DXA measurements as represented by said two-dimensional DXA image to determine therefrom differences between visceral and subcutaneous fat at least in a slice of the patient's body and an estimate of visceral fat contained in said sub-volume of the visceral fat volume that also contains material that is not visceral fat; and
providing and displaying an indication of said visceral fat estimate.

2. The method of claim 1 in which said visceral fat sub-volume is an individual organ of the patient that is within said visceral fat volume of the patient.

3. The method of claim 2 in which said organ is the patient's liver that is within said visceral fat volume of the patent.

4. The method of claim 1 including determining a total area α t of a slice through said total volume, a subcutaneous fat area α s of a subcutaneous fat portion of said slice, and a visceral fat area α v of a visceral fat portion of said slice.

5. The method of claim 4 in which said computer processing further comprises using digital information describing said areas α t , α s and α v to calculate total fat M t (Fat) of at least said slice and visceral fat Fat v of at least said slice.

6. The method of claim 4 in which said computer processing comprises calculating said visceral fat in said visceral fat volume of the patient as Fat v =(M t (Fat)−α s wp s ), where Fat v is the fat in said visceral fat volume of the patient, w is a length estimate of said total volume, and p s is an estimate of density of fat.

7. The method of claim 4 in which said determining comprises computer processing said DXA measurements to estimate at least one of said areas α t , α s and α v .

8. The method of claim 7 in which said determining comprises computer processing said DXA measurements to estimate each of said areas α t , α s and α v .

9. The method of claim 7 in which said computer processing to estimate at least one of said areas α t , α s and α v comprises estimating (a) a major and a minor axis of an ellipse approximating the body slice, and (b) a portion of a major axis related to subcutaneous fat.

10. The method of claim 1 in which said acquiring comprises deriving at least some of said DXA measurements from a lateral projection image of said total volume.

11. The method of claim 1 in which said computer processing further comprises using said DXA measurements to determine an estimate of lean tissue and of visceral fat Fat v in at least a slice of said total volume, and using said estimates of lean tissue and of visceral fat Fat v to calculate a percentage estimate for visceral fat of at least said slice.

12. A dual energy x-ray absorptiometry (DXA) method for determining visceral fat of a visceral fat volume of a patient surrounded by a subcutaneous fat volume and forming therewith a total volume of a length of the patient's body, comprising:
acquiring DXA measurements for respective pixel positions of a two-dimensional DXA projection image of said total volume and producing therefrom a two-dimensional DXA image of the length of the patient's body differentiating between the visceral and subcutaneous fat in said length of the patient's body;
determining, from said two-dimensional DXA image, a total area α t of a selected slice through said total volume, a subcutaneous fat area α s of a subcutaneous fat portion of said slice, and a visceral fat area α v of a visceral fat portion of said slice;
computer processing said DXA x-ray measurements and digital information describing said areas α t , α s and α v to calculate an estimate Fat v of visceral fat in said visceral fat area α v , which visceral fat area α v also contains material that is not visceral fat; and
providing and displaying said estimate Fat v for at least said slice of said total volume of a length of the patient.

13. The method of claim 12 in which said computer processing comprises using said DXA measurements to calculate an estimate M t (Fat) related to total fat in said slice.

14. The method of claim 13 in which said computer processing comprises calculating said estimate Fat v according to Fat v =(M t (Fat))−α s wp s ), where w is a length estimate of said total volume and p s is an estimate of density of fat.

15. The method of claim 12 in which said determining comprises computer processing said DXA measurements to estimate at least one of said areas α t , α s and α v .

16. The method of claim 15 in which said determining comprises computer processing said DXA measurements to estimate each of said areas α t , α s and α v .

17. The method of claim 15 in which said computer processing to determine at least one of said areas α t , α s and α v comprises estimating (a) a major and a minor axis of an ellipse approximating the body slice, and (b) a portion of a major axis related to subcutaneous fat.

18. The method of claim 12 comprising deriving at least some of said DXA measurements from a lateral projection image of said total volume.

19. The method of claim 12 in which said computer processing further comprises using at least said DXA measurements to calculate an estimate related to lean tissue in said slice.

20. The method of claim 19 in which said computer processing further comprises using said estimate related to lean tissue and said estimate Fat v to calculate a percentage metric for visceral fat of at least said slice.

21. The method of claim 12 in which said computer processing comprises calculating an estimate for left/right symmetry of said estimate Fat v relative to the patient's body.

22. The method of claim 12 including displaying the estimate Fat v of the patient in combination with ranges of estimates for a population of other patients matched to the patient by one or more selected characteristics including at least one of age and sex.

23. The method of claim 12 in which said computer processing comprises calculating individual estimates of visceral fat for each of a number of the pixel positions.

24. A method as in claim 12 in which said computer processing includes calculating individual estimates of subcutaneous fat for each of a number of said pixel positions.

25. A dual energy x-ray absorptiometry (DXA) method for determining visceral fat in a visceral fat volume of a patient surrounded by a subcutaneous fat volume and forming therewith a total volume of a length of the patient's body, comprising:
acquiring DXA measurements for respective pixel positions of a two-dimensional DXA projection image of said total volume showing differences between the subcutaneous fat and visceral fat of the length of the patient's body;
computer-processing said DXA measurements for said pixel positions in

Assignees

• Kelly Thomas
• Wilson Kevin E
• Ruth Christopher
• Hologic Inc

Inventors

• Kelly Thomas
• Wilson Kevin E
• Ruth Christopher

Classifications

• A61B6/505

  for diagnosis of bone · CPC title

• A61B6/482

  involving multiple energy imaging · CPC title

• A61B5/4869

  Determining body composition · CPC title

• A61B6/4035

  the source being combined with a filter or grating · CPC title

• A61B6/4241

  using energy resolving detectors, e.g. photon counting · CPC title