IP Library › Granted Patent US 12,394,055
Granted Patent B2
US 12,394,055 · App. 18/008,651 · Granted Aug 19, 2025

Spectral dark-field imaging

Inventors: Andriy Yaroshenko (Garching, DE); Thomas Koehler (Norderstedt, DE)
Assignee: KONINKLIJKE PHILIPS N.V.
G06T7/0014A61B6/405A61B6/4241A61B6/482G06T7/11G06T7/174G06V10/809G06T2207/10116G06T2207/20221G06T2207/30061
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Quick Facts
Patent No.
US 12,394,055
App. No.
18/008,651
Granted
Aug 19, 2025
Kind
B2
Abstract

This invention relates to an image processing device ( 1 ) comprising an input ( 2 ) for receiving image data representative of a region of interest in the body of a patient from a medical X-ray imaging apparatus ( 100 ). The image data comprises a first dark-field image obtained for a first X-ray spectrum and a second dark-field image obtained for a second, different. X-ray spectrum. A combination unit ( 3 ) provides a combination image that is representative of a medical condition map. e.g. a lung condition map, by combining the first dark-field image and the second dark-field image.

Claims (15)

1. An image processing device, comprising:

an input for receiving image data representative of a region of interest in a body of a patient, wherein the image data comprises a first dark-field image obtained for a first X-ray spectrum and a second dark-field image obtained for a second X-ray spectrum, wherein the first X-ray spectrum and the second X-ray spectrum are different; and

a processor configured to provide a combination image that is representative of a condition map by combining the first dark-field image and the second dark-field image.

2. The image processing device of claim 1 , wherein the region of interest is a thorax region, and wherein the condition map is a lung condition map.

3. The image processing device of claim 1 , wherein the processor is adapted for constructing the combination image as a vector-valued image, the vector-valued image having components that correspond to, or are calculated on the basis of, the first dark-field image and the second dark-field image.

4. The image processing device of claim 1 , wherein the processor is adapted to determine, for pixel locations in the combination image, a dark-field signal as function of photon energy or as function of correlation length.

5. The image processing device of claim 1 , wherein the processor is adapted to calculate a measure of deviation between the first dark-field image and the second dark-field image, wherein pixel values in the combination image correspond to the measure of deviation.

6. The image processing device of claim 1 , furthermore comprising a controller for controlling acquisition of the image data.

7. The image processing device of claim 6 , wherein the controller is adapted for stepping through a plurality of phase steps by controlling a phase stepper, acquiring image data from an image detector for each of a plurality of phase steps, and for controlling an X-ray source such as to switch between the first X-ray spectrum for at least one of the plurality of phase steps and the second X-ray spectrum for at least another of the plurality of phase steps.

8. The image processing device of claim 1 , comprising a segmenter for segmenting the first dark-field image, the second dark-field image, the combination image, or another image received via the input in order to identify structures of interest.

9. The image processing device of claim 8 , comprising a classifier for labelling each identified structure of interest with a classifier label that is selected by the classifier from a plurality of classifier labels based on the combination image, the plurality of classifier labels corresponding to different conditions.

10. A computer-implemented method for processing image data, comprising:

obtaining image data representative of a region of interest in a body of a patient, wherein the image data comprises a first dark-field image obtained for a first X-ray spectrum and a second dark-field image obtained for a second X-ray spectrum, wherein the first X-ray spectrum and the second X-ray spectrum are different; and

generating a combination image that is representative of a condition map by combining the first dark-field image and the second dark-field image.

11. The method of claim 10 , wherein the region of interest is a thorax region, and wherein the condition map is a lung condition map.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 6, 2022
From: YAROSHENKO, ANDRIY; KOEHLER, THOMAS
To: KONINKLIJKE PHILIPS N.V.
Reel/Frame 062001/0515 →
Priority Claims (1)
EP 20178684 · Jun 8, 2020 · regional
Continuity (1)
Related Publication 20230222658A1 · Jul 13, 2023
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