Advanced automatic digital radiographic hot light method and apparatus

• US 8,131,051 B2
• Filed: 06/24/2011
• Issued: 03/06/2012
• Est. Priority Date: 10/17/2006
• Status: Active Grant

• Current Assignee: CareStream Health Incorporated
• Original Assignee: CareStream Health Incorporated
• Inventors: Heath, Michael D., Sehnert, William J.
• Primary Examiner(s): ENTEZARI, MICHELLE M
• Application Number:
  US13/168,371
• Publication Number:
  US 20110255766A1
• Time in Patent Office: 256 Days
• Field of Search: None
• US Class Current: 382/132
• CPC Class Codes: G06T 2207/10116 X-ray image
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 5/40 using histogram techniques
• CPC Class Codes: G06T 5/94 based on local image properties, e.g. for local contrast enhancement

Abstract

A method for automatically modifying the rendering of an image based on an analysis of pixel values within a selected region of interest. The method includes: providing a digital input image of digital pixel values and tone scale look-up table (LUT); creating a default rendered image by applying the tone scale lookup table to the input image; displaying the default rendered image; selecting a region of interest from the input image; computing the histogram of the pixel values within the region of interest; creating a bright light image by remapping the pixel values within the region of interest based on an analysis of the histogram and the tone scale table.

Claims

1. A method for automatically modifying the rendering of an radiographic image based on an analysis of pixel values within a selected region of interest comprising:

providing a digital input radiographic image of digital pixel values and tone scale look-up-table LUT;

creating a default rendered image by applying the tone scale lookup table to the input image;

displaying the default rendered image;

selecting a region of interest from the input image;

computing the histogram of the pixel values within the region of interest;

creating a bright light image by remapping the pixel values within the region of interest based on an analysis of the histogram and the tone scale table, wherein the tone scale table has been adjusted by one or more of;

(1) increasing or decreasing the overall contrast by changing the slope of the input tone scale LUT by rotating the tone scale LUT about a central index point of the input tone scale LUT by means of a single rotation process; and

(2) increasing or decreasing the overall brightness by shifting the tone scale relative to the region of interest histogram; and

overlaying the bright light image on the default rendered image.

2. The method of claim 1 wherein the tonescale table is further adjusted to produce a reverse grayscale image.

3. The method of claim 1 wherein the overlay of the bright light image is spatially registered with the default rendered image.

4. The method of claim 3 wherein a display of the bright light image is blended with the default rendered image by rendering the overlaid bright light image with transparency.

5. The method of claim 1 wherein displaying the default rendered image includes displaying the image on a color display;

and creating a bright light image includes transforming the tone scale lookup table into a pseudo-color palette.

6. The method of claim 1 including the step of processing the region of interest by means of trend removal.

7. The method of claim 6 wherein the trend removal processing includes removing a fitted polynomial surface from the region of interest.

8. The method of claim 7 wherein the fitted polynomial surface is a plane surface.

9. The method of claim 7 wherein the fitted polynomial surface is a quadratic surface.

10. The method of claim 1 including processing the region of interest with spatial frequency processing.

11. The method of claim 10 wherein the spatial frequency processing includes unsharp masking processing.

12. The method of claim 10 wherein the spatial frequency processing includes multiresolution morphological filtering.

13. The method of claim 10 wherein the spatial frequency processing includes multiresolution filtering.

14. The method of claim 1 including magnifying the bright light image;

and overlaying includes overlaying the magnified bright light image on the default rendered image such that the center of the original bright light image becomes the center of the overlay image.

15. The method of claim 1 including storing the bright light image with the original image.

16. The method of claim 15 wherein storing includes storing the bright light image as a bitmapped file.

17. The method of claim 15 wherein storing includes storing the placement parameters of the bright light image.

18. The method of claim 15 wherein storing includes storing a database entry that links the original image to the bright light image.

19. The method of claim 1 including overlaying the bright light image on the default rendered image so that the overlay image displays in true size.