Detecting and quantifying patient motion during tomosynthesis scans
View Patent ↗The effects of patient motion in tomosynthesis scan images are automatically detected and quantified. In at least one embodiment an indication of detection of the effects of patient motion in tomosynthesis scan images is provided shortly after the scan, e.g., before the patient is discharged or before the breast is decompressed. A patient motion score may be calculated as part of motion quantification. The score may be stored for subsequent retrieval. Images may be presented with reference features to help a technician confirm of the effects of motion in images.
1. Apparatus comprising:
an image acquisition mechanism that generates a plurality of images of an imaging target of an individual in a time series during a scan;
an image processor that processes the plurality of images to generate processed images, wherein the processed images are at least one of projection images and reconstructed images;
a computer which is configured to display the processed images and which detects and quantifies motion of the target of a magnitude of between about 70 μm to about 420 μm during the scan by comparing an actual location of at least one point of reference in each processed image with an expected location of the at least one point of reference derived from a set of the processed images and by generating a motion score, wherein the at least one point of reference is an intrinsic marker of the individual and wherein the intrinsic marker comprises a plurality of points along a skin line; and
a mechanism for comparing the motion score to a threshold and for prompting a responsive action if the motion score exceeds the threshold.
2. The apparatus of claim 1 wherein the image processor enhances a set of the plurality of images or generates a mathematically transformed projection image.
3. The apparatus of claim 1 wherein the computer estimates the expected locations of the at least one reference point in successive images.
4. The apparatus of claim 3 wherein the computer calculates the expected locations by fitting a curve to each reference point location or by averaging.
5. The apparatus of claim 1 wherein the computer quantifies motion based on maximum displacement of the reference point.
6. The apparatus of claim 1 wherein the motion score is calculated using weighted average, max, median, min, or other operation.
7. The apparatus of claim 1 wherein an indication is provided to a technician if the motion score exceeds a predetermined threshold.
8. The apparatus of claim 7 wherein the indication includes at least one of a signal, icon, numerical score or other visual or auditory representation of patient motion displayed on a user interface of a gantry or workstation.
9. The apparatus of claim 7 wherein the indication is stored in a dicom header or other field of patient data.
10. The apparatus of claim 1 wherein the responsive action includes automatically adjusting or disposing of an image.
11. The apparatus of claim 1 wherein a set of images is presented on an interface with at least one reference feature to enable confirmation of motion.
12. The apparatus of claim 1 wherein the computer selectively discards or mathematically corrects a portion of projection data during image reconstruction.
13. The apparatus of claim 1 wherein the image acquisition mechanism is selected from a group of image acquisition systems which acquire images using tomosynthesis, a Computed Tomography (CT) image acquisition system, a PET, SPECT, Ultrasound, Contrast Enhanced, and MRI.
14. The apparatus of claim 1 wherein the image acquisition mechanism is a digital breast tomosynthesis system.
15. Apparatus comprising:
an image acquisition mechanism that generates a plurality of images of an imaging target of an individual in a time series during a scan;
an image processor that processes the images;
a computer which detects motion of the target during the scan by comparing an actual location of at least one point of reference in each processed image with an expected location of the at least one point of reference derived from a set of the processed images, wherein the at least one point of reference is an intrinsic marker of the individual along a skin line, wherein the intrinsic marker comprises a plurality of points along the skin line, and wherein the computer calculates displacement of the at least one reference point between N skin lines associated with N images along a selected direction relative to the N skin lines; and
a mechanism for prompting a responsive action if motion is detected.
16. The apparatus of claim 15 wherein the computer quantifies motion based on change of displacement or rate of change of displacement of the at least one reference point.
17. The apparatus of claim 16 wherein the computer quantifies motion based on maximum displacement of the reference point.
18. A method comprising:
generating a plurality of images of an imaging target of an individual in a time series during a scan;
processing the plurality of images to generate processed images, wherein the processed images are at least one of projection images and reconstructed images;
using a computer, detecting and quantifying motion of the target of a magnitude of between about 70 μm to about 420 μm during the scan by comparing an actual location of at least one point of reference in each processed image with an expected location of the at least one point of reference derived from a set of the processed images and by generating a motion score, wherein the at least one point of reference is an intrinsic marker of the individual and wherein the intrinsic marker comprises a plurality of points along a skin line; and
comparing the motion score to a threshold and prompting a responsive action if the motion score exceeds the threshold.
19. The method of claim 18 including enhancing a set of the plurality of images or generating a mathematically transformed projection image.
20. The method of claim 18 including estimating the expected locations of the at least one reference point in successive images.
21. The method of claim 20 including calculating the expected locations by fitting a curve to each reference point location or by averaging.
22. The method of claim 18 including quantifying motion based on maximum displacement of the reference point.
23. The method of claim 18 including calculating the motion score using weighted average, max, median, min, or other operation.
24. The method of claim 18 including providing an indication to a technician if the motion score exceeds a predetermined threshold.
25. The method of claim 24 including providing an indication with at least one of a signal, icon, numerical score or other visual or auditory representation of patient motion displayed on a user interface of a gantry or workstation.
26. The method of claim 24 including storing the indication in a dicom header or other field of patient data.
27. The method of claim 18 including automatically adjusting or disposing of an image as a responsive action.
28. The method of claim 18 including presenting a set of images on an interface with at least one reference feature to enable confirmation of motion.
29. The method of claim 18 including selectively discarding or mathematically correcting a portion of projection data during image reconstruction.
30. The method of claim 18 including generating the images using an image acquisition mechanism selected from a group of image acquisition systems which acquire images using tomosynthesis, a Computed Tomography (CT) image acquisition system, a PET, SPECT, Ultrasound, Contrast Enhanced, and MRI.
31. The method of claim 18 including storing information indicative of patient motion.
32. The method of claim 18 wherein the plurality of images is generated using a digital breast tomosynthesis system.
33. A method comprising:
generating a plurality of images of an imaging target of an individual in a time series during a scan;
processing the images;
using a computer, detecting motion of the target during the scan by comparing an actual location of at least one point of reference in each processed image with an expected location of the at least one point of reference derived from a set of the processed images, wherein the at least one point of reference is an intrinsic marker of the individual along a skin line, wherein the intrinsic marker comprises a plurality of points along the skin line, and wherein said detecting step includes calculating displacement of the at least one reference point between N skin lines associated with N images along a selected direction relative to the N skin lines; and
prompting a responsive action if motion is detected.
34. The method of claim 33 including quantifying motion based on change of displacement or rate of change of displacement of the at least one reference point.
35. The method of claim 34 including quantifying motion based on maximum displacement of the reference point.