System and method for molecular breast imaging
A method for generating molecular breast imaging (MBI) images includes generating at least one energy spectrum using an emission dataset acquired by imaging a patient, identifying a tail energy region and a peak energy region in the energy spectrum, determining a quantity of counts in the tail energy region and the peak energy region, generating an energy window for the energy spectrum based on the counts in the tail energy region and the peak energy region, and assigning a pixel intensity value to at least one image pixel based on a plurality of counts in the energy window.
1. A method for generating molecular breast imaging (MBI) images, said method comprising:
generating at least one energy spectrum using an emission dataset acquired by imaging a patient,
identifying a tail energy region and a peak energy region in the energy spectrum;
determining a quantity of counts in the tail energy region and the peak energy region;
generating an energy window for the energy spectrum based on the counts in the tail energy region and the peak energy region; and
assigning a pixel intensity value to at least one image pixel based on a plurality of counts in the energy window.
2. The method of claim 1 , further comprising:
generating a ratio of the counts in the tail energy region and the counts in the peak energy region; and
generating the energy window based on the ratio.
3. The method of claim 1 , further comprising:
generating a ratio of the counts in the tail energy region and the counts in the peak energy region;
decreasing a width of the energy window when the ratio is greater than a predetermined threshold; and
increasing a width of the energy window when the ratio is less than the predetermined threshold.
4. The method of claim 1 , further comprising:
generating a plurality of energy spectrums using the emission dataset; and
generating an energy window for each of the energy spectrums; and
assigning a pixel intensity value to a plurality of image pixels using the counts in the energy windows.
5. The method of claim 1 , further comprising:
generating a ratio of the counts in the tail energy region and the counts in the peak energy region; and
comparing the ratio to a predetermined threshold to generate the energy window.
6. The method of claim 5 , further comprising:
increasing a width of the energy window when the ratio is less than the predetermined threshold; and
decreasing the width of the energy window when the ratio is greater than the predetermined threshold.
7. The method of claim 5 , wherein the predetermined threshold is 0.6.
8. The method of claim 1 , further comprising generating the emission dataset using a molecular breast imaging (MBI) system.
9. The method of claim 1 , further comprising generating the least one energy spectrum using an emission dataset acquired by imaging a breast.
10. A molecular breast imaging (MBI) system comprising:
at least one detector having a plurality of detector elements; and
a processing unit coupled to the detector, the processing unit configured to
generate at least one energy spectrum using an emission dataset acquired by imaging a patient,
identify a tail energy region and a peak energy region in the energy spectrum;
determine a quantity of counts in the tail energy region and the peak energy region;
generate an energy window for the energy spectrum based on the counts in the tail energy region and the peak energy region; and
assign a pixel intensity value to at least one image pixel based on a plurality of counts in the energy window.
11. The MBI system of claim 10 , wherein the at least one detector comprises a pair of CZT detectors configured to generate the emission dataset.
12. The MBI system of claim 10 , wherein the processing unit is further configured to:
generate a ratio of the counts in the tail energy region and the counts in the peak energy region; and
generate the energy window based on the ratio.
13. The MBI system of claim 10 , wherein the processing unit is further configured to:
generate a ratio of the counts in the tail energy region and the counts in the peak energy region;
automatically decrease a width of the energy window when the ratio is greater than a predetermined threshold; and
automatically increase a width of the energy window when the ratio is less than the predetermined threshold.
14. The MBI system of claim 10 , wherein the processing unit is further configured to:
generate a plurality of energy spectrums using the emission dataset; and
generate an energy window for each of the energy spectrums; and
assign a pixel intensity value to a plurality of image pixels using the counts in the energy windows.
15. The MBI system of claim 10 , wherein the processing unit is further configured to:
generate a ratio of the counts in the tail energy region and the counts in the peak energy region; and
compare the ratio to a predetermined threshold to generate the energy window.
16. The MBI system of claim 15 , wherein the processing unit is further configured to:
increase a width of the energy window when the ratio is less than a predetermined threshold; and
decrease the width of the energy window when the ratio is greater than the predetermined threshold.
17. A non-transitory computer readable medium encoded with a program to instruct a processing unit to:
generate at least one energy spectrum using an emission dataset acquired by imaging a patient,
identify a tail energy region and a peak energy region in the energy spectrum;
determine a quantity of counts in the tail energy region and the peak energy region;
generate an energy window for the energy spectrum based on the counts in the tail energy region and the peak energy region; and
assign a pixel intensity value to at least one image pixel based on a plurality of counts in the energy window.
18. The non-transitory computer readable medium of claim 17 , further encoded with a program to instruct the processing unit to:
generate a ratio of the counts in the tail energy region and the counts in the peak energy region; and
generate the energy window based on the ratio.
19. The non-transitory computer readable medium of claim 17 , further encoded with a program to instruct the processing unit to:
generate a ratio of the counts in the tail energy region and the counts in the peak energy region;
automatically decrease a width of the energy window when the ratio is greater than a predetermined threshold; and
automatically increase a width of the energy window when the ratio is less than the predetermined threshold.
20. The non-transitory computer readable medium of claim 17 , further encoded with a program to instruct the processing unit to:
generate a ratio of the counts in the tail energy region and the counts in the peak energy region; and
compare the ratio to a predetermined threshold to generate the energy window.