Methods for the compensation of imaging technique in the processing of radiographic images

• US 8,781,191 B2
• Filed: 08/16/2012
• Issued: 07/15/2014
• Est. Priority Date: 03/25/2003
• Status: Active Grant

• Current Assignee: Imatx, Inc. (Conformis Incorporated)
• Original Assignee: Imatx, Inc. (Conformis Incorporated)
• Inventors: Lang, Philipp, Steines, Daniel, Liew, Siau-Way, Vargas-Voracek, Rene
• Primary Examiner(s): Lu, Tom Y
• Application Number:
  US13/587,344
• Publication Number:
  US 20130039592A1
• Time in Patent Office: 698 Days
• Field of Search: 382/128
• US Class Current: 382/128
• CPC Class Codes: A61B 2576/02 specially adapted for a particular organ or body part
• CPC Class Codes: A61B 5/4509 Bone density determination
• CPC Class Codes: A61B 5/748 Selection of a region of interest, e.g. using a graphics tablet
• CPC Class Codes: A61B 6/4423 related to hygiene or sterilisation
• CPC Class Codes: A61B 6/469 for selecting a region of interest [ROI]
• CPC Class Codes: A61B 6/505 for diagnosis of bone
• CPC Class Codes: A61B 6/508 for non-human patients
• CPC Class Codes: A61B 6/583 using calibration phantoms
• CPC Class Codes: A61B 8/0875 for diagnosis of bone A61B5/4504 takes precedence
• CPC Class Codes: G06T 2207/30008 Bone
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/11 Region-based segmentation
• CPC Class Codes: G09B 23/30 Anatomical models G09B23/281 - G09B23/288 take precedence

Abstract

The present invention relates to methods and devices for analyzing x-ray images. In particular, devices, methods and algorithms are provided that allow for the accurate and reliable evaluation of bone structure and macro-anatomical parameters from x-ray images.

Claims

1. A method to derive information regarding one or more bone parameters from an image comprising:

(a) obtaining an image comprising bone image from a subject;

(b) defining two or more regions of interest (ROIs) in the image; and

(c) analyzing a plurality of positions in the ROIs to determine one or more parameters selected from the group consisting of bone microarchitecture, bone macro-anatomy, biomechanical parameters and combinations thereof of the ROIs, wherein the ROIs are overlapping.

2. The method of claim 1, wherein the positions analyzed in the ROIs are at regular intervals in the image.

3. The method of claim 1, wherein the positions analyzed in the ROIs are at irregular intervals in the image.

4. The method of claim 1, wherein the parameter is bone micro-architecture and the positions analyzed are at regular intervals.

5. The method of claim 1, wherein the parameter is bone macro-anatomy and the positions are analyzed are at irregular intervals in the image.

6. The method of claim 1, wherein the image is two-dimensional.

7. The method of claim 6, wherein image is an x-ray image.

8. The method of claim 1, wherein the image is three-dimensional.

9. The method of claim 1, wherein the image is an electronic image.

10. The method of claim 1, wherein the subject is an osteoporosis subject.

11. A method of generating a map of one or more bone parameters, comprising

(a) obtaining information on bone parameters according to the method of claim 1;

and

(b) identifying regions of the image that exhibit similar parameter characteristics, thereby creating a parameter map of the image.

12. A method of predicting a fracture path in a subject, comprising:

(a) generating multiple parameter maps according to the method of claim 11;

(b) generating a composite parameter map from the multiple parameters maps of step (a); and

(c) analyzing the composite parameter map to identify possible fracture paths.

13. A method of predicting a fracture path in a subject comprising:

(a) analyzing one or more parameter maps preparing according to the method of claim 11, wherein the analysis is watershed segmentation analysis or Markov random field analysis; and

(b) identifying possible fracture paths based on the analysis of step (a), thereby predicting a fracture path in the subject.

14. A method of predicting the risk of fracture in a subject comprising:

(a) generating a finite element model from one or more parameter maps obtained according to the method of claim 11;

(b) applying simulated force vectors that would occur during a fracture incident to the finite element model; and

(c) determining the minimum forces required for fracture to occur, thereby estimating the risk of fracture.

15. A method of determining the risk of fracture in a subject comprising:

(a) predicting a fracture path according to the method of claim 12; and

(b) evaluating one or more selected bone parameters along the predicted fracture path, thereby estimating the risk of fracture.

16. A method of determining the risk of fracture in a subject comprising:

(a) predicting a fracture path according to the method of claim 13; and

(b) evaluating one or more selected bone parameters along the predicted fracture path, thereby estimating the risk of fracture.

17. A method of treating a subject with bone disease comprising

(a) obtaining an image comprising image of bone from a subject;

(b) analyzing the image obtained in step (a) as described in claim 1;

(c) diagnosing a bone disease based on the analysis of step (b); and

(d) selecting and administering a suitable treatment to said subject based on said diagnosis.