IP Library › Granted Patent US 12,196,897
Granted Patent B2
US 12,196,897 · App. 17/795,697 · Granted Jan 14, 2025

Photon counting detector

Inventor: Katsuyuki Taguchi (Baltimore, MD)
Assignee: THE JOHNS HOPKINS UNIVERSITY
G01T1/247
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Quick Facts
Patent No.
US 12,196,897
App. No.
17/795,697
Granted
Jan 14, 2025
Kind
B2
Abstract

A method, a system, a device, and a computer program produce for photon detection is disclosed. The method includes receiving, by a plurality of anodes, a photon via one or more of the plurality of anodes; measuring respective voltages of the photon at each of the plurality of anodes; counting incidents in which the photon is detected by more than one of the plurality of anodes based on the measuring; and outputting information regarding a counted number of incidents in which the photon is detected by more than one of the plurality of anodes, wherein the information regarding the courted number of incidents in which the photon is detected by more than one of the plurality of anodes is used as part of a production of an image associated with the received photon.

Claims (36)

1. A method for photon detection, the method comprising:

receiving, by a plurality of anodes, a photon via one or more of the plurality of anodes;

measuring respective voltages of the photon at each of the plurality of anodes;

counting incidents in which the photon is detected by more than one of the plurality of anodes based on the measuring, wherein the counting comprises storing in separate counters, with respect to a pixel of interest, and for each affected pixel, a no-charge sharing event count, and a plurality of counts of coincidences of photons with respective different energy levels, wherein counts of spill-in events and spill-out events are represented; and

outputting information regarding a counted number of incidents in which the photon is detected by more than one of the plurality of anodes,

wherein the information regarding the counted number of incidents in which the photon is detected by more than one of the plurality of anodes is used as part of a production of an image associated with the photon that is received.

2. The method of claim 1 , wherein the counting is based on one or more primary counters and more than one coincidence counters, wherein each primary counter comprises more than one sub-counters.

3. The method of claim 2 , wherein the one or more primary counters are configured to operate using direct windowing or thresholding.

4. The method of claim 2 , wherein the one or more primary counters are configured to be incremented for an event within a corresponding two-sided energy window.

5. The method of claim 2 , wherein the one or more primary counters are configured to be incremented for an event about a corresponding one-sided energy threshold.

6. The method of claim 2 , wherein a number of coincidence counters is equal to or less than a square of a number of primary counters.

7. The method of claim 1 , wherein the counting is based on information without spatial information with different numbers of neighbor pixels.

8. The method of claim 1 , wherein an output of 8-neighbor pixels is treated as one input.

9. The method of claim 1 , wherein an output of 4-neighbor pixels is treated as one input.

10. The method of claim 1 , wherein an output of N-neighbor pixels with N≠4 and N≠8 are treated as one input.

11. The method of claim 10 , wherein the output further comprises an additional charge sharing correction/compensation component that takes one or more primary counters data and coincidence counters data and outputs a corrected/compensated data and wherein the output comprises spatial information with different number of neighbor pixels.

12. The method of claim 10 , wherein a number of the output is equal to a number of the different energy levels, or is greater than the number of different energy levels.

13. The method of claim 12 , wherein the spatial information is with pair-wise connected pixel-specific coincidence counters and provides information for identifying incident locations based on the primary counters and the coincidence counters.

14. The method of claim 1 , wherein an output comprises outputs from the one or more primary counters and outputs from a plurality of coincidence counters.

15. The method of claim 1 , wherein the counting is based on three different energy levels and the counting further comprises counting a number of spill-in and spill-out incidents with respect to a pixel of interest.

16. The method of claim 15 , wherein the three different energy levels comprise a first energy range of about 20 keV to about 50 keV, a second energy range of about 50 keV to about 80 keV, and a third energy range of about equal to or greater than 80 keV.

17. The method of claim 1 , wherein a spill-in incident includes an incident in which a voltage measurement of the photon for a pixel neighboring the pixel of interest is greater than a voltage measurement of the photon for the pixel of interest or wherein a spill-out incident includes an incident in which a voltage measurement of the photon for a pixel neighboring the pixel of interest is less than a voltage measurement of the photon for the pixel of interest.

18. The method of claim 1 , wherein the photon originates as part of operation of a photon counting detector-based x-ray computed tomography (PCD-CT) system.

19. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to perform operations comprising:

receiving, by a plurality of anodes, a photon via one or more of the plurality of anodes;

measuring respective voltages of the photon at each of the plurality of anodes;

counting incidents in which the photon is detected by more than one of the plurality of anodes based on the measuring, wherein the counting comprises storing in separate counters, with respect to a pixel of interest, and for each affected pixel, a no-charge sharing event count, and a plurality of counts of coincidences of photons with different energy levels, wherein counts of spill-in events and spill-out events are represented; and

outputting information regarding a counted number of incidents in which the photon is detected by more than one of the plurality of anodes,

wherein the information regarding the counted number of incidents in which the photon is detected by more than one of the plurality of anodes is used as part of a production of an image associated with the photon that is received.

20. A system comprising:

a processor, a computer readable memory, a non-transitory computer readable storage medium associated with a computing device, and program instructions executable by the computing device to cause the computing device to perform operations comprising:

receiving, by a computing device coupled to a plurality of anodes, a photon via one or more of the plurality of anodes;

measuring, by the computing device, respective voltages of the photon at each of the plurality of anodes;

counting, by the computing device, incidents in which the photon is detected by more than one of the plurality of anodes based on the measuring, wherein the counting comprises storing in separate counters, with respect to a pixel of interest, and for each affected pixel, a no-charge sharing event count, and a plurality of counts of coincidences of photons with different energy levels, wherein counts of spill-in events and spill-out events are represented; and

outputting, by the computing device, information regarding a counted number of incidents in which the photon is detected by more than one of the plurality of anodes,

wherein the information regarding the counted number of incidents in which the photon is detected by more than one of the plurality of anodes is used as part of a production of an image associated with the photon that is received.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 27, 2022
From: TAGUCHI, KATSUYUKI
To: THE JOHNS HOPKINS UNIVERSITY
Reel/Frame 060982/0204 →
Continuity (2)
Provisional Application 62966463 · Jan 27, 2020
Related Publication 20230095795A1 · Mar 30, 2023
References Cited (58)
US 6207958B1 · Giakos · 2001 [cited by applicant]
US 6559453B2 · Lundqvist · 2003 [cited by applicant]
US 6590215B2 · Nygard et al. · 2003 [cited by applicant]
US 7433443B1 · Tkaczyk et al. · 2008 [cited by applicant]
US 9031197B2 · Spahn · 2015 [cited by examiner]
US 9784854B2 · Blevis et al. · 2017 [cited by applicant]
US 10024979B1 · Viswanath et al. · 2018 [cited by applicant]
US 10292669B2 · Ishitsu et al. · 2019 [cited by applicant]
US 10365380B2 · Booker et al. · 2019 [cited by applicant]
US 11540791B2 · Goederer et al. · 2023 [cited by applicant]
US 11883216B2 · Goederer et al. · 2024 [cited by applicant]
US 20130193333A1 · Oda · 2013 [cited by applicant]
US 20150049855A1 · Funk et al. · 2015 [cited by applicant]
US 20200069266A1 · Cai · 2020 [cited by examiner]
Iritsky, E. (RU International Officer), International Search Report and Written Opinion in corresponding International Application No. PCT/US2021/015288 mailed on May 13, 2021, 6 pages. [cited by applicant]
Alvarez, Robert E. “Estimator for photon counting energy selective x-ray imaging with multibin pulse height analysis.” Medical physics 38.5 (2011): 2324-2334. [cited by applicant]
Ballabriga, R. et al. “Photon counting detectors for X-ray imaging with emphasis on CT.” IEEE Transactions on Radiation and Plasma Medical Sciences 5.4 (2020): 422-440. [cited by applicant]
Ballabriga, R. et al. “Review of hybrid pixel detector readout ASICs for spectroscopic X-ray imaging.” Journal of Instrumentation 11.01 (2016): P01007. [cited by applicant]
Ballabriga, R. et al. “The Medipix3 prototype, a pixel readout chip working in single photon counting mode with improved spectrometric performance.” IEEE Transactions on Nuclear Science 54.5 (2007): 1824-1829. [cited by applicant]
Bellazzini, R. et al. “Pixie III: a very large area photon-counting CMOS pixel ASIC for sharp X-ray spectral imaging.” Journal of Instrumentation 10.01 (2015): C01032. [cited by applicant]
Cormode, David P. et al. “Atherosclerotic plaque composition: analysis with multicolor CT and targeted gold nanoparticles.” Radiology 256.3 (2010): 774-782. [cited by applicant]
Faby, Sebastian et al. “Performance of today's dual energy CT and future multi energy CT in virtual non-contrast imaging and in iodine quantification: a simulation study.” Medical physics 42.7 (2015): 4349-4366. [cited by applicant]
Feuerlein, Sebastian et al. “Multienergy photon-counting K-edge imaging: potential for improved luminal depiction in vascular imaging.” Radiology 249.3 (2008): 1010-1016. [cited by applicant]
Fredenberg, Erik et al. “Energy resolution of a photon-counting silicon strip detector.” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 613… [cited by applicant]
Gutjahr, Ralf et al. “Human imaging with photon counting-based computed tomography at clinical dose levels: contrast-to-noise ratio and cadaver studies.” Investigative radiology 51.7 (2016): 421-429. [cited by applicant]
Heanue, Joseph A. et al. “CdZnTe detector array for a scanning-beam digital x-ray system.” Medical Imaging 1999: Physics of Medical Imaging. vol. 3659. SPIE, 1999. [cited by applicant]
Hsieh, Scott S. et al. “A dynamic attenuator improves spectral imaging with energy-discriminating, photon counting detectors.” IEEE transactions on medical imaging 34.3 (2014): 729-739. [cited by applicant]
Hsieh, Scott S. “Coincidence counters for charge sharing compensation in spectroscopic photon counting detectors.” IEEE transactions on medical imaging 39.3 (2019): 678-687. [cited by applicant]
Hsieh, Scott S. et al. “Digital count summing vs analog charge summing for photon counting detectors: A performance simulation study.” Medical physics 45.9 (2018): 4085-4093. [cited by applicant]
Hsieh, Scott S. et al. “Improving pulse detection in multibin photon-counting detectors.” Journal of Medical Imaging 3.2 (2016): 023505-023505. [cited by applicant]
Koenig, Thomas et al. “Charge summing in spectroscopic x-ray detectors with high-Z sensors.” IEEE Transactions on Nuclear Science 60.6 (2013): 4713-4718. [cited by applicant]
Lee, Okkyun et al. “Estimation of basis line-integrals in a spectral distortion-modeled photon counting detector using low-order polynomial approximation of x-ray transmittance.” IEEE transactions on medical imaging 36.… [cited by applicant]
Lee, Okkyun et al. “Estimation of basis line-integrals in a spectral distortion-modeled photon counting detector using low-rank approximation-based x-ray transmittance modeling: K-edge imaging application.” IEEE transac… [cited by applicant]
Leng, Shuai et al. “Dose-efficient ultrahigh-resolution scan mode using a photon counting detector computed tomography system.” Journal of Medical Imaging 3.4 (2016): 043504-043504. [cited by applicant]
Macias-Montero, J-G. et al. “ERICA: an energy resolving photon counting readout ASIC for X-ray in-line cameras.” Journal of Instrumentation 11.12 (2016): C12027. [cited by applicant]
Maj et al., “Measurements of Matching and Noise Performance of a Prototype Readout Chip in 40 nm CMOS Process for Hybrid Pixel Detectors,” IEEE Transactions on Nuclear Science, vol. 62, No. 1, Feb. 2015. [cited by applicant]
Michel et al., “A fundamental method to determine the signal-to-noise ratio (SNR) and detective quantum efficiency (DQE) for a photon counting pixel detector,” Nuclear Instruments and Methods in Physics Research A 568 (… [cited by applicant]
Pan et al., “Computed Tomography in Color: NanoK-Enhanced Spectral CT Molecular Imaging, ” Functional Nanocolloids, Angew. Chem. Int. Ed. 2010, 49, 9635-9639. [cited by applicant]
Pourmorteza et al., “Dose Efficiency of Quarter-Millimeter Photon-Counting Computed Tomography First-in-Human Results,” Investigative Radiology, vol. 53, No. 6, Jun. 2018, 365-372. [cited by applicant]
Pourmorteza et al., “Abdominal Imaging with Contrast-enhanced Photoncounting CT: First Human Experience,” Radiology, vol. 279, No. 1, Apr. 2016, 239-245. [cited by applicant]
Roessl et al., “K-edge imaging in x-ray computed tomography using multi-bin photon counting detectors,” Phys. Med. Biol. 52 (2007) 4679-4696. [cited by applicant]
Schmidt et al., “A Spectral CT Method to Directly Estimate Basis Material Maps From Experimental Photon-Counting Data,” IEEE Transactions on Medical Imaging, vol. 36, No. 9, Sep. 2017, 1808-1819. [cited by applicant]
Stierstorfer, Karl et al. “A Monte Carlo assessment of the spectral performance of four types of photon counting detectors.” arXiv preprint arXiv:2408.07538 (2024). [cited by applicant]
Stierstorfer, “Modeling the frequency-dependent detective quantum efficiency of photon-counting x-ray detectors,” Med. Phys. 45 (1), Jan. 2018, 156-166. [cited by applicant]
Stierstorfer et al., “Modeling the DQE(f) of photon-counting detectors: impact of the pixel sensitivity profile,” Phys. Med. Biol. 64 (2019) 105008 (14pp). [cited by applicant]
Symons et al., “Feasibility of Dose-reduced Chest CT with Photon-counting Detectors: Initial Results in Humans,” Radiology: vol. 0, No. 0, 2017, 1-10. [cited by applicant]
Taguchi, “Vision 20/20: Single photon counting x-ray detectors in medical imaging,” Med. Phys. 40 (10), Oct. 2013, 100901-1 to 100901-19. [cited by applicant]
Taguchi et al., “Spatio-energetic cross talk in photon counting detectors: Detector model and correlated Poisson data generator,” Med. Phys. 43 (12), Dec. 2016, 6386-6404. [cited by applicant]
Taguchi et al., “Spatio-energetic cross-talk in photon counting detectors: Numerical detector model (PcTK) and workflow for CT image quality assessment,” Med. Phys. 45 (5), May 2018, 1985-1998. [cited by applicant]
Taguchi et al., “Spatio-energetic cross-talk in photon counting detectors: N 3 N binning and sub-pixel masking,” Med. Phys. 45 (11), Nov. 2018, 4822-4842. [cited by applicant]
Taguchi et al., “Direct energy binning for photon counting detectors: Simulation study,” Med Phys. 2024;51:70-79. [cited by applicant]
Taguchi, “Assessment of Multienergy Interpixel Coincidence Counters (MEICC) for Charge Sharing Correction or Compensation for Photon Counting Detectors With Boxcar Signals,” IEEE Transactions on Radiation and Plasma Med… [cited by applicant]
Taguchi et al., “Assessment of multi-energy inter-pixel coincidence counters for photon-counting detectors at the presence of charge sharing and pulse pileup: A simulation study,” Medical Physics. 2021;48:4909-4925. [cited by applicant]
Taguchi, “Multi-energy inter-pixel coincidence counters for charge sharing correction and compensation in photon counting detectors,” Med. Phys. 47 (5), May 2020, 2085-2098. [cited by applicant]
Ullberg et al., “Measurements of a dual-energy fast photon counting CdTe detector with integrated charge sharing correction,” Medical Imaging 2013: Physics of Medical Imaging, Proc. of SPIE vol. 8668, 86680P. [cited by applicant]
Yu et al., “Evaluation of conventional imaging performance in a research whole-body CT system with a photon-counting detector array,” Phys. Med. Biol. 61 (2016) 1572-1595. [cited by applicant]
Yu et al., “How Low Can We Go in Radiation Dose for the Data-completion Scan on a Research Whole-body Photon-counting CT System,” J Comput Assist Tomogr. Author manuscript; available in PMC Jul. 1, 2017, 20 pages. [cited by applicant]
Yu et al., “Noise performance of low-dose CT: comparison between an energy integrating detector and a photon counting detector using a whole-body research photon counting CT scanner,” Journal of Medical Imaging 3(4), 04… [cited by applicant]
Cited By (1)
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