Systems and methods for filtering noise in pixelated image detectors
Systems and methods for filtering noise in pixelated photon counting image detectors are provided. One method includes obtaining image information including event count information for a pixelated solid-state photon counting radiation detector and obtaining a count-rate threshold. The method further includes filtering the event count information based on the count-rate threshold.
1. A method for image noise filtering for a pixelated solid-state photon counting radiation detector, the method comprising:
obtaining from a pixelated solid-state photon counting radiation detector image information including event count information;
obtaining a count-rate threshold; and
filtering the event count information based on the count-rate threshold.
2. A method in accordance with claim 1 wherein obtaining the count-rate threshold comprises determining an event-count rate based on the event count information and calculating a count-rate threshold based on the event-count rate.
3. A method in accordance with claim 1 wherein the event count information comprises event counts and timestamps and wherein the filtering comprises discarding the event counts having timestamps wherein the count-rate threshold is exceeded.
4. A method in accordance with claim 1 further comprising dividing the event count information into a plurality of time windows and determining a count-rate threshold for each time window.
5. A method in accordance with claim 4 wherein the plurality of time windows are determined by a sliding time window having overlapping time periods.
6. A method in accordance with claim 1 wherein the pixelated solid-state photon counting radiation detector comprises a plurality of modules, and wherein a count-rate threshold is calculated for each module separately.
7. A method in accordance with claim 1 further comprising normalizing the filtered event count information to compensate for the filtering.
8. A method in accordance with claim 1 wherein the event count information comprises event counts and further comprising determining a representative count-rate from which the count-rate threshold is calculated.
9. A method in accordance with claim 8 further comprising determining an acceptable deviation from the representative count-rate and calculating the count-rate threshold on the representative count-rate and the acceptable deviation.
10. A method in accordance with claim 1 wherein obtaining the count-rate threshold comprises dynamically calculating the count-rate threshold while the event count information is acquired.
11. A method in accordance with claim 1 wherein obtaining the count-rate threshold comprises calculating the count-rate threshold during an image reconstruction process after the event count information is acquired.
12. A method in accordance with claim 1 wherein obtaining the count-rate threshold comprises calculating the event count information for each of a plurality of detection periods identified by timestamps.
13. A method in accordance with claim 1 wherein the count-rate threshold is based on an expectation for Poisson distributed event count information.
14. A method in accordance with claim 1 wherein the count rate information corresponds to event counts for each of a plurality of pixels of a plurality of modules of the pixelated solid-state photon counting radiation detector.
15. A method in accordance with claim 14 wherein the plurality of modules comprise cadmium zinc telluride (CZT) modules.
16. A method in accordance with claim 1 wherein the event count information comprises one of photon event counts and x-ray event counts.
17. A method in accordance with claim 1 further comprising providing an alert if an amount of counts filtered exceeds a predetermined condition.
18. A method for noise filtering of image data, the method comprising:
acquiring image data in a count mode of a pixelated imaging detector;
determining a count-rate for the count mode image data; and
filtering, using a processor, the count mode image data based on count-rate spikes.
19. A method in accordance with claim 18 further comprising determining a count-rate threshold value to identify the count-rate spikes for filtering.
20. A method in accordance with claim 19 further comprising determining a representative count rate and a deviation from which the count-rate threshold is determined.
21. A method in accordance with claim 18 wherein the imaging detector comprises a plurality of modules and further comprising filtering the image data based on count-rate spikes in each of a plurality of time windows for each of the plurality of modules.
22. A method in accordance with claim 18 further comprising normalizing the filtered image data to compensate for the filtering.
23. An imaging system comprising:
at least one pixelated detector configured to operate in a count mode;
a processor configured to receive image data sets from the at least one pixelated detector, the image data sets including event count information; and
a noise filtering module configured to filter the event count information based on count-rate spikes determined from the event count information.
24. An imaging system in accordance with claim 23 wherein the noise filtering module is further configured to normalized the filtered image data to compensate for the filtering.