Contrast-dependent resolution image

Patent metadata

Field	Value
Publication number	US-9336612-B2
Application number	US-201214006710-A
Country	US
Kind code	B2
Filing date	Mar 16, 2012
Priority date	Mar 28, 2011
Publication date	May 10, 2016
Grant date	May 10, 2016

Abstract

A method for processing one or more reconstructed images includes receiving a first reconstructed image having a first image resolution and receiving a second reconstructed image having a second image resolution. The first resolution is greater than the second resolution. The method further includes generating a contrast-dependent resolution image by combining the first and second reconstructed images single image so that the first reconstructed image contributes to a greater degree to the contrast-dependent resolution image for higher contrasts regions of the images and the second reconstructed image contributes to a greater degree to the contrast-dependent resolution image for lower contrasts regions of the images.

First claim

What is claimed is:

1. A method for processing one or more reconstructed images, comprising:
receiving a first reconstructed image having a first image resolution;
receiving a second reconstructed image having a second image resolution, wherein the first resolution is greater than the second resolution;
generating a gradient map based at least on the second reconstructed image;
transforming the gradient map with a function that ensures smooth weighting transitions;
generating a weighting function based on the transformed gradient map; and
generating a contrast-dependent resolution image by combining, based on the weighting function, the first and second reconstructed images into a single image so that the first reconstructed image contributes to a greater degree to the contrast-dependent resolution image for higher contrasts regions of the images and the second reconstructed image contributes to a greater degree to the contrast-dependent resolution image for lower contrasts regions of the images.

2. The method of claim 1 , further comprising:
detecting a contrast and gradient levels of the second reconstructed image;
generating a gradient image based on the detected contrast and gradient levels; and
generating the gradient map based on the gradient image.

3. The method of claim 2 , further comprising:
setting a predetermined minimum gradient magnitude level and a predetermined maximum gradient magnitude level for the gradient image, wherein the predetermined minimum and maximum gradient magnitude levels respectively indicate gradient levels at which only the second reconstructed image is used for the contrast-dependent resolution image and only the first reconstructed image is used for the contrast-dependent resolution image; and
generating the gradient map based on the gradient image with the minimum and maximum gradient magnitude levels.

4. The method of claim 3 , wherein the gradient map scales gradients from zero to one.

5. The method of claim 1 , further comprising:
reducing noise in the first reconstructed image; and
generating the contrast-dependent resolution image by combining the reduced noise first reconstructed image and the second reconstructed image.

6. The method of claim 5 , wherein reducing noise in the first reconstructed image includes applying a noise reduction algorithm that reduces noise in the first reconstructed image while preserving edges in the first reconstructed image.

7. The method of claim 1 , wherein generating the contrast-dependent resolution image includes employing a non iterative and non likelihood based approach to generate the contrast-dependent resolution image.

8. The method of claim 1 , wherein the first reconstructed image is generated by reconstructing projection data from a scan of an object or subject with an imaging system, and the second reconstructed image is generated by reconstructing the projection data or from the first reconstructed image.

9. A system, comprising:
a contrast-dependent resolution image generator that generates a contrast-dependent resolution image by selectively blending a first reconstructed image having a first higher resolution and a second reconstructed imaged having a second lower resolution based on a contrast-dependent resolution weighting function generated by applying a sinusoidal function to transform a gradient map.

10. The system of claim 9 , wherein the weighting function weights the higher resolution image to a higher degree for higher contrasts regions of the images and the weights the lower resolution image to a higher degree for lower contrasts regions of the images.

11. The system of claim 10 , further comprising:
a noise reducer that reduces noise in the higher resolution image, wherein the contrast-dependent resolution image generator generates the contrast-dependent resolution image with the reduced noise higher resolution image.

12. The system of claim 9 , the contrast-dependent resolution image generator, comprising:
a contrast and gradient level detector that detects a contrast and gradient level of the lower resolution image and generates a gradient image indicative thereof;
a weighting function generator that generates the contrast-dependent resolution weighting function based on the gradient image; and
an image combiner that combines the first and second images based on the contrast-dependent resolution weighting function.

13. The system of claim 12 , the weighting function generator, comprising:
a gradient cut off setter that sets a minimum and a maximum gradient level for the gradient image; and
a gradient map generator that generates the gradient map based on the gradient image and the minimum and maximum gradient levels; and
a gradient map transformation component that transforms the gradient map into the weighting function.

14. The system of claim 9 , wherein the weighting function describes how to combine the images into a single contrast-dependent resolution image.

Assignees

• Brown Kevin
• Koninkl Philips Nv

Inventors

• Brown Kevin

Classifications

• G06T12/30

  Image post-processing, e.g. metal artefact correction · CPC title

• G06T12/00 Primary

  Tomographic reconstruction from projections · CPC title

• G06T5/50 Primary

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

• G06T11/003 Primary

  Physics · mapped topic

• G06T11/008

  Physics · mapped topic