Multi-sector back-off logic algorithm for obtaining optimal slice-sensitive computed tomography profiles
Abstract
A multi-sector back-off logic algorithm for obtaining optimal slice-sensitive computed tomography (“CT”) profiles. The systems and methods of the present invention improving the temporal resolution of a CT system by checking for Z location errors between sectors and automatically backing-off to an alternative multi-sector algorithm when necessary (i.e., selecting an optimized maximum number of sectors to reconstruct), providing less Z location error. Based upon this Z location error, the systems and methods of the present invention also calculating the maximum number of sectors that should be used for reconstruction “on-the-fly” (i.e., on a per image basis across an entire series of images). These systems and methods utilizing the Recommended Protocol for Cardiac Reconstruction Algorithms.
Claims
exact text as granted — not AI-modified1. A computed tomography method, comprising:
determining a maximum Z location error;
determining a weighted average Z location error;
selecting a threshold value associated with the maximum Z location error and the weighted average Z location error;
prescribing an N+1 sector reconstruction algorithm;
if the maximum Z location error is less than the threshold value or the weighted average Z location error is less than the threshold value, performing an N+1 sector reconstruction; and
if the maximum Z location error exceeds the threshold value or the weighted average Z location error exceeds the threshold value, prescribing an N sector reconstruction.
2. The computed tomography method of claim 1 , further comprising, if the a second maximum Z location error is less than the threshold value or the a second weighted average Z location error is less than the threshold value, performing an N sector reconstruction.
3. The computed tomography method of claim 2 , further comprising, if the second maximum Z location error exceeds the threshold value or the second weighted average Z location error exceeds the threshold value, prescribing an N−1 sector reconstruction.
4. The computed tomography method of claim 1 , wherein the computed tomography method is used to perform cardiac imaging.
5. A computed tomography method for obtaining optimal slice-sensitive profiles, comprising:
determining a maximum Z location error associated with a computed tomography system;
determining a weighted average Z location error associated with the computed tomography system;
selecting a threshold value associated with the maximum Z location error and the weighted average Z location error;
prescribing an N+1 sector reconstruction algorithm;
if the maximum Z location error is less than the threshold value or the weighted average Z location error is less than the threshold value, performing an N+1 sector reconstruction; and
if the maximum Z location error exceeds the threshold value or the weighted average Z location error exceeds the threshold value, prescribing an N sector reconstruction.
6. The computed tomography method of claim 5 , further comprising, if the a second maximum Z location error is less than the threshold value or the a second weighted average Z location error is less than the threshold value, performing an N sector reconstruction.
7. The computed tomography method of claim 6 , further comprising, if the second maximum Z location error exceeds the threshold value or the second weighted average Z location error exceeds the threshold value, prescribing an N−1 sector reconstruction.
8. The computed tomography method of claim 5 , wherein the computed tomography method is used to perform cardiac imaging.
9. An imaging method for obtaining optimal slice-sensitive profiles, comprising:
determining a maximum Z location error associated with an imaging system;
determining a weighted average Z location error associated with the imaging system;
selecting a threshold value associated with the maximum Z location error and the weighted average Z location error;
prescribing an N+1 sector reconstruction algorithm;
if the maximum Z location error is less than the threshold value or the weighted average Z location error is less than the threshold value, performing an N+1 sector reconstruction; and
if the maximum Z location error exceeds the threshold value or the weighted average Z location error exceeds the threshold value, prescribing an N sector reconstruction.
10. The imaging method of claim 9 , further comprising, if the a second maximum Z location error is less than the threshold value or the a second weighted average Z location error is less than the threshold value, performing an N sector reconstruction.
11. The imaging method of claim 10 , further comprising, if the second maximum Z location error exceeds the threshold value or the second weighted average Z location error exceeds the threshold value, prescribing an N−1 sector reconstruction.
12. The imaging method of claim 9 , wherein the computed tomography imaging method is used to perform cardiac imaging.
13. A computed tomography system, comprising:
a computed tomography scanner;
a first algorithm operable for determining a maximum Z location error associated with the computed tomography system;
a second algorithm operable for determining a weighted average Z location error associated with the computed tomography system;
a third algorithm operable for selecting a threshold value associated with the maximum Z location error and the weighted average Z location error;
means for prescribing an N+1 sector reconstruction algorithm;
a fourth algorithm operable for, if the maximum Z location error is less than the threshold value or the weighted average Z location error is less than the threshold value, performing an N+1 sector reconstruction; and
wherein the fourth algorithm is further operable for, if the maximum Z location error exceeds the threshold value or the weighted average Z location error exceeds the threshold value, prescribing an N sector reconstruction.
14. The computed tomography system of claim 13 , wherein the fourth algorithm is further operable for, if the a second maximum Z location error is less than the threshold value or the a second weighted average Z location error is less than the threshold value, performing an N sector reconstruction.
15. The computed tomography system of claim 14 , wherein the fourth algorithm is further operable for, if the second maximum Z location error exceeds the threshold value or the second weighted average Z location error exceeds the threshold value, prescribing an N−1 sector reconstruction.
16. The computed tomography system of claim 13 , wherein the computed tomography system is used to perform cardiac imaging.
17. An imaging system, comprising:
an imaging scanner;
a first algorithm operable for determining a maximum Z location error associated with the imaging system;
a second algorithm operable for determining a weighted average Z location error associated with the imaging system;
a third algorithm operable for selecting a threshold value associated with the maximum Z location error and the weighted average Z location error;
means for prescribing an N+1 sector reconstruction algorithm;
a fourth algorithm operable for, if the maximum Z location error is less than the threshold value or the weighted average Z location error is less than the threshold value, performing an N+1 sector reconstruction; and
wherein the fourth algorithm is further operable for, if the maximum Z location error exceeds the threshold value or the weighted average Z location error exceeds the threshold value, prescribing an N sector reconstruction.
18. The imaging system of claim 17 , wherein the fourth algorithm is further operable for, if the a second maximum Z location error is less than the threshold value or the a second weighted average Z location error is less than the threshold value, performing an N sector reconstruction.
19. The imaging system of claim 18 , wherein the fourth algorithm is further operable for, if the second maximum Z location error exceeds the threshold value or the second weighted average Z location error exceeds the threshold value, prescribing an N−1 sector reconstruction.
20. The imaging system of claim 17 , wherein the imaging system is used to perform cardiac imaging.
21. The computed tomography method of claim 1 wherein:
determining the maximum Z location error further comprises determining a first maximum Z location error and a second maximum Z location error; and determining the weighted average Z location error further comprises determining a first weighted average Z location error and a second weighted average Z location error.
22. The computed tomography method of claim 5 wherein:
determining the maximum Z location error further comprises determining a first maximum Z location error and a second maximum Z location error; and determining the weighted average Z location error further comprises determining a first weighted average Z location error and a second weighted average Z location error.
23. The imaging method of claim 9 wherein:
determining the maximum Z location error further comprises determining a first maximum Z location error and a second maximum Z location error; and determining the weighted average Z location error further comprises determining a first weighted average Z location error and a second weighted average Z location error.
24. The computed tomography system of claim 13 wherein:
the first algorithm is further operable for determining a first maximum Z location error and a second maximum Z location error; and the second algorithm is further operable for determining a first weighted average Z location error and a second weighted average Z location error.
25. The imaging system of claim 17 wherein:
the first algorithm is further operable for determining a first maximum Z location error and a second maximum Z location error; and the second algorithm is further operable for determining a first weighted average Z location error and a second weighted average Z location error.
26. An imaging apparatus comprising:
an imager; and a computer programmed to: acquire scan data; select a predetermined number of sectors corresponding to the scan data; determine a multiple - sector Z location error corresponding to the predetermined number of sectors for a desired Z location; select a Z location error threshold; reconstruct an image from less than the predetermined number of sectors if the multiple - sector Z location error is above the Z location error threshold; otherwise reconstruct an image from the predetermined number of sectors.
27. The imaging apparatus of claim 26 wherein the computer is further programmed to:
determine a Z location for each of the predetermined number of sectors; determine a detector coverage associated with the imager; calculate an upper limit and a lower limit of the detector coverage for each of the predetermined number of sectors; and determine a single - sector Z location error for each of the predetermined number of sectors based on the respective Z location, the upper limit, and the lower limit of each sector.
28. The imaging apparatus of claim 27 wherein the computer is further programmed to:
set the single - sector Z location error for each sector equal to the lower limit minus the Z location, if the respective single - sector Z location is less than the lower limit; set the single - sector Z location error for each sector equal to the upper limit minus the Z location, if the respective single - sector Z location is greater than the upper limit; otherwise set the single - sector Z location equal to zero.
29. The imaging apparatus of claim 27 wherein the computer is further programmed to:
identify an upper - most Z location error sector of the predetermined number of sectors based on the single - sector Z location error of each sector; identify a lower - most Z location error sector from the predetermined number of sectors based on the single - sector Z location error of each sector; and determine the multi - sector Z location error by calculating a maximum Z location error based on the upper - most Z location error sector and the lower - most Z location error sector.
30. The imaging apparatus of claim 29 wherein the computer is further programmed to calculate the maximum Z location error in accordance with:
maximum — error — spread=maximum — error−minimum — error where: maximum — error represents the single - sector Z location error corresponding to the upper - most Z location error sector and minimum — error represents the single - sector Z location error corresponding to the lower - most Z location error sector.
31. The imaging apparatus of claim 29 wherein the computer is further programmed to determine the multiple- sector Z location error by calculating a weighted average Z location error based on the upper - most Z location error sector and the lower - most Z location error sector.
32. The imaging apparatus of claim 31 wherein the computer is further programmed to calculate the weighted average Z location error in accordance with:
WE=total error over all sectors/total view over all sectors where: WE represents the weighted average Z location error and total error over all sectors represents a total Z location error over all sectors.
33. An imaging method comprising:
accessing a predetermined number of sectors to reconstruct; receiving scan data associated with the predetermined number of sectors; determining a Z location error threshold; determining a plurality of Z locations for a desired Z location corresponding to the predetermined number of sectors; calculating a first multi - sector Z location error based on the plurality of Z locations; reconstructing less than the predetermined number of sectors to create an image if the first multi - sector Z location error is above the Z location error threshold; otherwise reconstructing the predetermined number of sectors to create an image.
34. The method of claim 33 further comprising:
determining a plurality of detector coverage limits, each detector coverage limit corresponding to a respective one of the predetermined number of sectors; determining a plurality of single - sector Z location errors based on the plurality of detector coverage limits; and calculating the first multi - sector Z location error based on the plurality of single - sector Z location errors.
35. The method of claim 33 wherein reconstructing less than the predetermined number of sectors further comprises:
calculating a second multi - sector Z location error based on the plurality of Z locations; and reconstructing a set of sectors having one less sector than the predetermined number of sectors if the second multi - sector Z location error is below the Z location error threshold.
36. The method of claim 33 wherein calculating the first multi- sector Z location error comprises calculating a maximum Z location error and a weighted average Z location error based on the plurality of Z locations.
37. The method of claim 33 wherein calculating the maximum Z location error comprises determining a maximum error between an upper most sector and a lower most sector of the predetermined number of sectors.
38. The method of claim 36 wherein calculating the weighted average Z location error comprises determining an average Z location error weighted by a total view of the predetermined number of sectors.Cited by (0)
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