Method and apparatus for combined dual-energy mammography and tomosynthesis imaging
US-2016007943-A1 · Jan 14, 2016 · US
US11857145B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11857145-B2 |
| Application number | US-202016819347-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 16, 2020 |
| Priority date | Mar 29, 2019 |
| Publication date | Jan 2, 2024 |
| Grant date | Jan 2, 2024 |
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One embodiment relates to a method for providing image data of a hollow organ. The method includes applying a first contrast agent to a lumen of the hollow organ, to obtain a contrast agent filling of the lumen; applying a second contrast agent to a blood vessel system, the blood vessel system supplying a wall of the hollow organ, the second contrast agent having a different absorption spectrum than the first contrast agent; generating spectrally resolved computed tomography data of an examination area, the examination area including the hollow organ; calculating first image data indicative of a presence of the first contrast agent and second image data indicative of a presence of the second contrast agent by applying a material separation algorithm onto the spectrally resolved computed tomography data; and providing the image data of the hollow organ including the first image data and the second image data.
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What is claimed is: 1. A method for providing image data of a hollow organ of a digestive system, comprising: applying a first contrast agent to a lumen of the hollow organ to obtain a contrast agent filling of the lumen, the first contrast agent having a first absorption spectrum; applying a second contrast agent to a blood vessel system supplying a wall surrounding the lumen of the hollow organ, the second contrast agent providing substantially complete perfusion of the wall, and the second contrast agent having a second absorption spectrum different from the first absorption spectrum; generating spectrally resolved computed tomography data of an examination area including the hollow organ; calculating first image data and second image data by applying a material separation algorithm onto the spectrally resolved computed tomography data, the first image data indicative of a presence of the first contrast agent, and the second image data indicative of a presence of the second contrast agent; generating a representation of the wall based on the first image data and the second image data, the generating the representation of the wall including assigning a pixel of the second image data to the representation of the wall based on a distance of the pixel from a representation of a border of the first contrast agent filling of the lumen; and providing the representation of the wall. 2. The method of claim 1 , wherein the spectrally resolved computed tomography data are photon counting computed tomography data. 3. The method of claim 2 , wherein the material separation algorithm is a k-edge imaging algorithm. 4. The method of claim 2 , the method further comprising: determining a region of interest in the image data; and classifying the region of interest based on the presence of the first contrast agent and the presence of the second contrast agent. 5. The method of claim 2 , wherein the generating the representation of the wall includes generating the representation of the border of the first contrast agent filling of the lumen based on the first image data. 6. The method of claim 1 , wherein the material separation algorithm is a k-edge imaging algorithm. 7. The method of claim 6 , the method further comprising: determining a region of interest in the image data; and classifying the region of interest based on the presence of the first contrast agent and the presence of the second contrast agent. 8. The method of claim 1 , the method further comprising: determining a region of interest in the image data; and classifying the region of interest based on the presence of the first contrast agent and the presence of the second contrast agent. 9. The method of claim 1 , wherein the generating the representation of the wall includes, generating the representation of the border of the first contrast agent filling of the lumen based on the first image data. 10. The method of claim 9 , wherein the generating the representation of the wall includes, generating a representation of a plurality of anatomical structures based on the second image data, determining a region of the representation of the plurality of anatomical structures, the region being adjacent to the representation of the border of the first contrast agent filling of the lumen, and generating the representation of the wall based on the region of the representation of the plurality of anatomical structures. 11. The method of claim 10 , wherein the lumen of the hollow organ includes at least one portion external to the first contrast agent filling of the lumen and adjacent to the wall, and the generating the representation of the wall includes generating a representation of the at least one portion of the lumen based on the representation of the border of the first contrast agent filling of the lumen. 12. The method of claim 9 , wherein the lumen of the hollow organ includes at least one portion external to the first contrast agent filling of the lumen and adjacent to the wall of the hollow organ, and the generating the representation of the wall includes generating a representation of the at least one portion of the lumen based on the representation of the border of the first contrast agent filling of the lumen. 13. The method of claim 12 , wherein the at least one portion of the lumen includes at least one of a solid material or a gas. 14. The method of claim 1 , wherein the hollow organ is a colon or a small intestine. 15. The method of claim 1 , wherein the applying the first contrast agent includes applying the first contrast agent orally. 16. The method of claim 1 , wherein the applying the second contrast agent includes applying the second contrast agent intravenously. 17. The method of claim 1 , wherein the first contrast agent is based on a first material with a first k-edge, the second contrast agent is based on a second material with a second k-edge, and a distance between the first k-edge and the second k-edge is at least 10 Kiloelectronvolts. 18. The method of claim 1 , wherein at least one of the first contrast agent is based on a first element selected from the group comprising tungsten, holmium and gadolinium, or the second contrast agent is based on a second element selected from the group comprising iodine and barium. 19. The method of claim 1 , wherein the pixel is assigned to the representation of the wall based on a value of the pixel exceeding a threshold value, the value indicating an amount of the second contrast agent present.
involving the use of contrast agents · CPC title
Transmission computed tomography [CT] · CPC title
using energy resolving detectors, e.g. photon counting · CPC title
for selecting a region of interest [ROI] · CPC title
specially adapted for specific body parts; specially adapted for specific clinical applications · CPC title
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