Granted Patent B2

US 12,423,808 · App. 18/060,688 · Granted Sep 23, 2025

Inventors: Jonathan Sachs (Haifa, IL); Raz Carmi (Haifa, IL)

Assignee: GE PRECISION HEALTHCARE LLC

G06T7/0012G01T1/02G06T5/50G06V10/761G06T2207/10104G06T2207/10108G06T2207/20221

Abstract

Claims (88)

1. A computing system, comprising:

computer readable medium including a positron emission tomography (PET)-to-single photon emission tomography (SPECT) module with instructions for generating simulated SPECT image data based on first PET image data, wherein the first PET image data is acquired prior to a treatment course of a treatment regimen with a SPECT-based treatment/imaging radiopharmaceutical; and

a processor configured to obtain the first PET image data, system parameters of a SPECT-CT imaging system utilized to generate corresponding SPECT image data for the treatment regimen and scan parameters utilized by the SPECT-CT imaging system to acquire the corresponding SPECT image data, and execute the instructions to forward project the PET image data into SPECT projections based on the system parameters and the scan parameters and reconstruct the SPECT projections to generate the simulated SPECT data.

2. The computing system of claim 1 , wherein the processor is further configured to:

normalize the SPECT projections to generate normalized SPECT projections;

add noise to the normalized SPECT projections to generate normalized SPECT projections with noise; and

reconstruct the normalized SPECT projections with noise to generate the simulated SPECT image data.

3. The computing system of claim 2 , wherein the processor is further configured to:

extract a second SPECT FOV from the PET image data;

forward project the PET image into second SPECT projections;

normalize the second SPECT projections to generate second normalized SPECT projections;

add noise to the second normalized SPECT projections to generate second normalized SPECT projections with noise;

reconstruct the second normalized SPECT projections with noise to generate second simulated SPECT image data; and

combine the simulated SPECT image data and the second simulated SPECT image data to create a single set of simulated SPECT image data.

4. The computing system of claim 1 , wherein the processor is further configured to:

obtain first SPECT image data acquired after the treatment course of the treatment regimen; and

compare the simulated SPECT image data and the first SPECT image data.

5. The computing system of claim 4 , wherein the processor is further configured to:

obtain second SPECT image data acquired after a second treatment course of the treatment regimen; and

compare at least one of the simulated SPECT image data or the first SPECT image data with the second SPECT image data.

6. The computing system of claim 1 , wherein the processor is further configured to:

obtain second PET image data acquired after the treatment regimen;

generate second simulated SPECT image data based on the second PET image data and the system and scan parameters; and

compare the simulated SPECT image data and the second simulated SPECT image data.

7. The computing system of claim 1 , wherein the processor is further configured to:

obtain second PET image data acquired after the treatment regimen; and

compare the PET image data and the second PET image data.

8. The computing system of claim 1 , wherein the processor is further configured to:

obtain second PET image data acquired after the treatment regimen;

generate second simulated SPECT image data based on the second PET image data and the system and scan parameters; and

compare the simulated SPECT image data and the second simulated SPECT image data.

9. The computing system of claim 1 , wherein the processor is further configured to:

obtain a dosimetry value of primary tissue of interest or healthy tissue in SPECT image data acquired after the treatment course of the treatment regimen;

identify the primary tissue of interest and secondary tissue of interest in the PET image data;

determine a value of a secondary-to-primary tissue of interest characteristic;

obtain a total radiation dose; and

estimate a radiation dose of the secondary tissue of interest based on the dosimetry value, the value of the secondary-to-primary tissue of interest characteristic and the total radiation dose.

10. The computing system of claim 9 , wherein the processor further estimates the radiation dose based on a factor indicative of an imaging relationship between SPECT and PET imaging.

11. A computer-implemented method, comprising:

obtaining first PET image data that was acquired prior to a treatment course of a treatment regimen with a SPECT-based treatment/imaging radiopharmaceutical;

obtaining system parameters of a SPECT-CT imaging system utilized to acquire SPECT image data for the treatment regimen and scan parameters utilized by the SPECT-CT imaging system to acquire the SPECT image data; and

generating a simulated SPECT image data by forward projecting the PET image data into SPECT projections based on the system parameters and the scan parameters and reconstructing the SPECT projections.

12. The computer-implemented method of claim 11 , further comprising:

normalizing the SPECT projections to generate normalized SPECT projections;

adding noise to the normalized SPECT projections to generate normalized SPECT projections with noise; and

reconstructing the normalized SPECT projections with noise to generate the simulated SPECT image data.

13. The computer-implemented method of claim 11 , further comprising:

extracting a second SPECT FOV from the PET image data;

forward projecting the PET image into second SPECT projections;

normalizing the second SPECT projections to generate second normalized SPECT projections;

adding noise to the second normalized SPECT projections to generate second normalized SPECT projections with noise;

reconstructing the second normalized SPECT projections with noise to generate second simulated SPECT image data; and

combining the simulated SPECT image data and the second simulated SPECT image data to create a single set of SPECT image data.

14. The computer-implemented method of claim 11 , further comprising:

obtaining second PET image data acquired after the treatment regimen;

generating second simulated SPECT image data based on the second PET image data and the system and scan parameters; and

comparing the simulated SPECT image data and the second simulated SPECT image.

15. The computer-implemented method of claim 11 , further comprising:

obtaining a dosimetry value of primary tissue of interest or healthy tissue in SPECT image data acquired after the treatment course of the treatment regimen;

identifying the primary tissue of interest and secondary tissue of interest in the PET image data;

determining a value of a secondary-to-primary tissue of interest characteristic;

obtaining a total radiation dose; and

estimating a radiation dose of the secondary tissue of interest based on the dosimetry value, the value of the secondary-to-primary tissue of interest characteristic and the total radiation dose.

16. A computer readable storage medium encoded with computer executable instructions which when executed by a processor cause the processor to:

obtain first PET image data that was acquired prior to a treatment course of a treatment regimen with a SPECT-based treatment/imaging radiopharmaceutical;

obtain system parameters of a SPECT-CT imaging system to be utilized to acquire SPECT image data and scan parameters utilized by the SPECT-CT imaging system to acquire the SPECT image data; and

generate a-simulated SPECT image data by forward projecting the PET image data into SPECT projections based on; the system parameters and the scan parameters and reconstructing the SPECT projections.

17. The computer readable storage medium of claim 16 , wherein the computer executable instructions further cause the processor to:

normalize the SPECT projections to generate normalized SPECT projections;

add noise to the normalized SPECT projections to generate normalized SPECT projections with noise; and

reconstruct the normalized SPECT projections with noise to generate the simulated SPECT image data.

18. The computer readable storage medium of claim 17 , wherein the computer executable instructions further cause the processor to:

extract a second SPECT FOV from the PET image data;

forward project the PET image into second SPECT projections;

normalize the second SPECT projections to generate second normalized SPECT projections;

add noise to the second normalized SPECT projections to generate second normalized SPECT projections with noise;

reconstruct the second normalized SPECT projections with noise to generate second simulated SPECT image data; and

combine the simulated SPECT image data and the second simulated SPECT image data to create a single set of SPECT image data.

19. The computer readable storage medium of claim 16 , wherein the computer executable instructions further cause the processor to:

obtain second PET image data acquired after the treatment regimen;

generate second simulated SPECT image data based on the second PET image data and the system and scan parameters; and

compare the simulated SPECT image data and the second simulated SPECT image.

20. The computer readable storage medium of claim 16 , wherein the computer executable instructions further cause the processor to:

obtain a dosimetry value of primary tissue of interest or healthy tissue in SPECT image data acquired after the treatment course of the treatment regimen;

identify the primary tissue of interest and secondary tissue of interest in the PET image data;

determine a value of a secondary-to-primary tissue of interest characteristic;

obtain a total radiation dose; and

estimate a radiation dose of the secondary tissue of interest based on the dosimetry value, the value of the secondary-to-primary tissue of interest characteristic and the total radiation dose.

Assignments (1)

Continuity (1)

References Cited (9)