IP Library › Granted Patent US 12,360,060
Granted Patent B2
US 12,360,060 · App. 18/331,490 · Granted Jul 15, 2025

Systems and methods for K-edge-based X-ray imaging having improved contrast-to-noise ratio

Inventors: Krzysztof Iniewski (Port Moody, CA); Olivier Tousignant (Brentwood Bay, CA); Elmaddin Guliyev (Vancouver, CA)
Assignee: REDLEN TECHNOLOGIES, INC.
G01N23/046G01N23/083G01N23/223G01N2223/304G01N2223/306
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,360,060
App. No.
18/331,490
Granted
Jul 15, 2025
Kind
B2
Abstract

A method of X-ray imaging includes determining energies of photons emitted by an X-ray source and attenuated by an object that are detected by an energy-discriminating radiation detector, generating photon count data by counting a number of detected photons in a plurality of energy bins of the energy-discriminating radiation detector that includes a first energy bin and an adjacent second energy bin, and generating an X-ray image of the object using the photon count data. Detected photons determined to have an energy within a gap region between a maximum energy threshold of the first energy bin and a minimum energy threshold of the second energy bin are not included in the photon count data used to generate the X-ray image of the object.

Claims (27)

1. A method of X-ray imaging, comprising:

determining energies of photons emitted by an X-ray source and attenuated by an object that are detected by an energy-discriminating radiation detector;

generating photon count data by counting a number of detected photons in a plurality of energy bins of the energy-discriminating radiation detector that includes a first energy bin and an adjacent second energy bin; and

generating an X-ray image of the object using the photon count data, wherein detected photons determined to have an energy within a gap region between a maximum energy threshold of the first energy bin and a minimum energy threshold of the second energy bin are not included in the photon count data used to generate the X-ray image of the object.

2. The method of claim 1 , wherein the maximum energy threshold of the first energy bin of the energy-discriminating radiation detector is less than a K-edge energy of a material of interest, and the minimum energy threshold of the second energy bin of the energy-discriminating radiation detector is greater than the K-edge energy of the material of interest.

3. The method of claim 2 , wherein the maximum energy threshold of the first energy bin and the minimum energy threshold of a second energy bin are equally-spaced from the K-edge energy of the material of interest.

4. The method of claim 2 , wherein a gap bin is located between the maximum energy threshold of the first energy bin and the minimum energy threshold of the second energy bin and including the K-edge energy of the material of interest, and wherein detected photons determined to have an energy within the gap bin are not counted in the photon count data.

5. The method of claim 2 , wherein multiple gap bins are located between energy bins of the energy-discriminating radiation detector, each gap bin including a K-edge energy of a different material of interest.

6. The method of claim 1 , wherein the gap region has a width of 4 keV or less.

7. The method of claim 1 , wherein the material of interest comprises one or more of gold, iodine, gadolinium, barium, ytterbium, lanthanum, lutetium, and holmium.

8. The method of claim 1 , wherein the object comprises a human or animal patient.

9. The method of claim 8 , wherein the material of interest is included in a contrast medium that is administered to the human or animal patient prior to or during an X-ray imaging scan.

10. The method of claim 9 , wherein the X-ray imaging scan comprises a computed tomography (CT) imaging scan.

11. The method of claim 1 , wherein generating the X-ray image using the photon count data comprises identifying the material of interest in X-ray attenuation data detected by the energy-discriminating radiation detector based on a difference in photon count data between the first energy bin and the second energy bin.

12. An X-ray imaging system, comprising:

an X-ray source configured to direct a beam of X-ray radiation at an object;

an energy-discriminating radiation detector comprising a plurality of radiation sensors configured to detect X-rays from the X-ray source that have been attenuated by the object; and

detector read-out circuitry configured to determine an energy of X-ray photons detected by the plurality of radiation sensors and to generate photon count data by counting a number of detected photons in a plurality of energy bins, the plurality of energy bins comprising a first energy bin having a maximum energy threshold that is less than a K-edge energy of a material of interest, and a second energy bin having a minimum energy threshold that is greater than the K-edge energy of the material of interest; and

a processor configured to generate an X-ray image of the object using the photon count data, wherein photons detected by the plurality of radiation sensors that are determined to have an energy within a gap region between the maximum energy threshold of the first energy bin and the minimum energy threshold of the second energy bin are not included in the photon count data used to generate the X-ray image of the object.

13. The X-ray imaging system of claim 12 , wherein the gap region has a width of 4 keV of less.

14. The X-ray imaging system of claim 13 , wherein the gap region has a width of 2 keV or less.

15. The X-ray imaging system of claim 12 , wherein the X-ray imaging system comprises a computed tomography (CT) X-ray imaging system.

16. The X-ray imaging system of claim 15 , further comprising a contrast injection apparatus configured to provide a controlled volume of a contrast medium including the material of interest into the object in coordination with an X-ray scan of the object.

17. The X-ray imaging system of claim 12 , further comprising a K-edge filter disposed in a beam path between the X-ray source and the object, the K-edge filter comprising the material of interest.

18. The X-ray imaging system of claim 12 , wherein the X-ray imaging system comprises a baggage screening system.

19. The X-ray imaging system of claim 12 , wherein the X-ray imaging system comprises a non-destructive testing system.

20. The X-ray imaging system of claim 12 , wherein the material of interest comprises one or more of gold, iodine, gadolinium, barium, ytterbium, lanthanum, lutetium, and holmium.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 9, 2023
From: INIEWSKI, KRZYSZTOF; TOUSIGNANT, OLIVIER; GULIYEV, ELMADDIN
To: REDLEN TECHNOLOGIES, INC.,
Reel/Frame 063913/0442 →
Continuity (2)
Provisional Application 63366342 · Jun 14, 2022
Related Publication 20230400422A1 · Dec 14, 2023
References Cited (13)
US 10398394B2 · Jin · 2019 [cited by examiner]
US 10905388B2 · Kojima · 2021 [cited by examiner]
US 11169286B2 · Guliyev et al. · 2021 [cited by applicant]
US 20100215230A1 · Bornefalk · 2010 [cited by examiner]
US 20170238896A1 · Iwai · 2017 [cited by examiner]
US 20190383956A1 · Guliyev et al. · 2019 [cited by applicant]
US 20200326290A1 · Iniewski · 2020 [cited by examiner]
US 20220276184A1 · Marthandam et al. · 2022 [cited by applicant]
Bindley, G. et al., “Systems and Methods for Measuring Bone Mass Density Using Energy Discriminating Photon-Counting X-Ray Detector,” U.S. Appl. No. 18/177,460, filed Mar. 2, 2023. [cited by applicant]
Dunning, C. et al., “Photon-counting computed tomography of lanthanide contrast agents with a high-flux 330-μm- pitch cadmium zinc Telluride detector in a table-top system,” J. Med Imaging (Bellingham). May 2020;7(3):03… [cited by applicant]
Fleiter, T., “Clinical Applications of Spectral Computed Tomography Enabling Technique for Novel Contrast Development and Targeting Imaging,” Book title “Spectral, Photon Counting Computed Tomography,” 1st Edition, Publ… [cited by applicant]
Kim, J. et al., “Advances in and Uses of Contrast Agents for Spectral Photon Counting Computed Tomography,” Book title “Spectral, Photon Counting Computed Tomography,” 1st Edition, Published 2020, Imprint CRC Press, 24 … [cited by applicant]
Richtsmeier, D. et al., “Multi-contrast K-edge imaging on a bench-top photon-counting CT system: acquisition parameter study,” Journal of Instrumentation, vol. 15, Oct. 2020, DOI 10.1088/1748-0221/15/10/P10029. [cited by applicant]