Determining a residual mode image from a dual energy image

Patent metadata

Field	Value
Publication number	US-9706968-B2
Application number	US-201414774205-A
Country	US
Kind code	B2
Filing date	Mar 14, 2014
Priority date	Mar 15, 2013
Publication date	Jul 18, 2017
Grant date	Jul 18, 2017

Abstract

A digital image ( 40 ) comprises pixels with intensities relating to different energy levels. A method for processing the digital image ( 40 ) comprises the steps of: receiving first image data ( 42 a ) and second image data ( 42 b ) of the digital image ( 40 ), the first image data ( 42 a ) encoding a first energy level and the second image data ( 42 b ) encoding a second energy level; determining a regression model ( 44 ) from the first image data ( 42 a ) and the second image data ( 42 b ), the regression model ( 44 ) establishing a correlation between intensities of pixels of the first image data ( 42 a ) with intensities of pixels of the second image data ( 42 b ); and calculating residual mode image data ( 46 ) from the first image data ( 42 a ) and the second image data ( 42 b ), such that a pixel of the residual mode image data ( 46 ) has an intensity based on the difference of an intensity of the second image data ( 42 b ) at the pixel and a correlated intensity of the pixel of the first image data ( 42 a ), the correlated intensity determinate by applying the regression model to the intensity of pixel of the first image data ( 42 a ).

First claim

The invention claimed is:

1. A method for processing a digital image comprising pixels with intensities relating to different energy levels, the method comprising the steps of:
receiving first image data and second image data of the digital image, the first image data encoding a first energy level and the second image data encoding a second energy level;
determining a regression model from the first image data and the second image data, the regression model establishing a correlation between intensities of pixels of the first image data with intensities of pixels of the second image data; and
calculating residual mode image data from the first image data and the second image data, such that a pixel of the residual mode image data has an intensity based on the difference of an intensity of the second image data at the pixel and a correlated intensity of the pixel of the first image data, the correlated intensity being determined by applying the regression model to the intensity of pixel of the first image data.

2. The method of claim 1 , wherein the regression model is a non-linear model.

3. The method of claim 1 , further comprising the step of:
selecting a region of the digital image,
wherein the regression model is determined from pixels of only the selected region and/or the residual mode image data is determined for pixels of only the selected region.

4. The method of claim 1 , further comprising the step of:
calculating dominant mode image data, wherein an intensity of a pixel of the dominant mode image data is based on a correlated intensity of the pixel of the first image data and second image data with respect to the regression model.

5. The method of claim 1 , further comprising the step of:
displaying the residual mode image data together with further image data on a display device by overlaying the image data with the residual mode image data.

6. The method of claim 1 , further comprising the step of:
displaying the residual mode image data together with further image data on a display device by toggling the image data with the residual mode image data on the display device.

7. The method of claim 6 , wherein the image data is toggled with the residual mode image data on the display device by a user command.

8. The method of claim 1 , further comprising the step of:
displaying the residual mode image data together with further image data on a display device by alpha-blending the image data with the residual mode image data.

9. The method of claim 1 , further comprising the step of:
applying a threshold intensity to the residual mode image data, such that pixels of the residual mode image data with an intensity below the threshold intensity are discarded.

10. The method of claim 9 , wherein the threshold intensity is determined such that an Euler characteristic of the residual mode image data drops below a predefined number at the threshold intensity.

11. The method of claim 1 , further comprising the step of:
recording the first image data and the second image data with an X-ray detector arrangement adapted for acquiring X-rays at different X-ray energy levels.

12. A non-transitory computer-readable medium storing a computer program, executable by a processor, for processing a digital image comprising pixels with intensities relating to different energy levels, the computer-readable medium comprising:
receiving code for receiving first image data and second image data of the digital image, the first image data encoding a first energy level and the second image data encoding a second energy level;
determining code for determining a regression model from the first image data and the second image data, the regression model establishing a correlation between intensities of pixels of the first image data with intensities of pixels of the second image data; and
calculating code for calculating residual mode image data from the first image data and the second image data, such that a pixel of the residual mode image data has an intensity based on a difference between an intensity of the second image data at the pixel and a correlated intensity of the pixel of the first image data, the correlated intensity being determined by applying the regression model to the intensity of pixel of the first image data.

13. A controller for an X-ray imaging system adapted to execute the steps of claim 1 .

14. An X-ray imaging system, comprising:
a detector arrangement for recording first image data with X-rays of a first energy level and for recording second image data with X-rays of a second energy level different from the first energy level;
a controller for generating residual mode image data from the first image data and the second image data, the controller executing a computer program to perform the steps of:
determining a regression model from the first image data and the second image data, the regression model establishing a correlation between intensities of pixels of the first image data with intensities of pixels of the second image data; and
calculating the residual mode image data from the first image data and the second image data, such that a pixel of the residual mode image data has an intensity based on a difference of an intensity of the second image data at the pixel and a correlated intensity of the pixel of the first image data, the correlated intensity being determined by applying the regression model to the intensity of pixel of the first image data; and

a display device for displaying the residual mode image data.

Assignees

• Koninklijke Philips Nv
• Philips Deutschland Gmbh

Inventors

• Wiemker Rafael
• Buelow Thomas
• Goossen Andre
• Erhard Klaus
• Bergtholdt Martin
• Heese Harald Sepp

Classifications

• G06T2211/408

  Dual energy · CPC title

• G06T2207/30068

  Mammography; Breast · CPC title

• G06T2207/20104

  Interactive definition of region of interest [ROI] · CPC title

• G06T5/50

  using two or more images, e.g. averaging or subtraction · CPC title

• A61B6/482 Primary

  involving multiple energy imaging · CPC title