Imaging with curved compression elements
US-2020069274-A1 · Mar 5, 2020 · US
US11707244B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11707244-B2 |
| Application number | US-201816639226-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 16, 2018 |
| Priority date | Aug 16, 2017 |
| Publication date | Jul 25, 2023 |
| Grant date | Jul 25, 2023 |
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An imaging system may include an imaging detector to capture an image of human tissue and a compression paddle situated apart from the imaging detector to compress the human tissue between the compression paddle and the imaging detector. A force sensor may generate a force signal indicating a measure of force applied superior to the human tissue. A movement detection circuit may filter a movement signal from the force signal indicating a measure of movement of the compressed human tissue. A movement analysis module may determine that the movement signal is beyond a movement threshold. An image correction module to perform a corrective action based upon the determination that the movement signal is beyond a movement threshold.
Opening claim text (preview).
The invention claimed is: 1. An imaging system, comprising: an imaging detector to capture a plurality of images of human tissue; a compression paddle situated apart from the imaging detector to compress the human tissue between the compression paddle and the imaging detector; a force sensor to generate a force signal indicating a measure of force applied superior to the human tissue; a processor operatively coupled to the imaging detector and the force sensor; and a memory coupled to the processor, the memory storing instructions that, when executed by the processor, perform a set of operations comprising: filtering a movement signal from force signal indicating a measure of movement of the compressed human tissue; determining that the movement signal in a first image of the plurality of images is beyond a movement threshold; determining whether deleting the first image from the plurality of images, based upon the determination that the movement signal in the first image is beyond the movement threshold, exceeds an image removal threshold; and performing a corrective action based upon the determination that the movement signal is beyond the movement threshold and the determination whether deleting the first image from the plurality of images exceeds the image removal threshold. 2. The imaging system according to claim 1 , the force sensor is included within the compression paddle. 3. The imaging system according to claim 1 , the corrective action includes determining and displaying the movement score on the display device. 4. The imaging system according to claim 1 , the corrective action includes displaying an alert on a display device indicating that the movement threshold has been exceeded. 5. The imaging system according to claim 1 , the corrective action includes triggering a visual indicator of the imaging system. 6. The imaging system according to claim 1 , wherein determining whether deleting the first image from the plurality of images exceeds the image removal threshold further comprises identifying each image of the plurality of images associated with a movement signal exceeding the movement threshold. 7. The imaging system according to claim 6 , wherein determining whether deleting the first image from the plurality of images exceeds the image removal threshold comprises determining that deleting the first image would not exceed the image removal threshold; and the corrective action comprises deleting the first image from the plurality of images. 8. The imaging system according to claim 7 , wherein determining whether deleting the first image from the plurality of images exceeds the image removal threshold comprises determining that deleting the first image would exceed the image removal threshold; and the corrective action comprises cancelling the imaging sequence. 9. A computer implemented method, comprising: receiving, from a force sensor, a force signal indicating a measure of force applied superior to human tissue being compressed between a compression paddle and an imaging detector to capture a plurality of images of the human tissue; filtering a movement signal from the force signal indicating a measure of movement of the compressed human tissue; determining that the movement signal in a first image of the plurality of images is beyond a movement threshold; determining whether deleting the first image from the plurality of images, based upon the determination that the movement signal in the first image is beyond the movement threshold, exceeds an image removal threshold; and performing a corrective action based upon the determination that the movement signal is beyond the movement threshold and the determination whether deleting the first image from the plurality of images exceeds the image removal threshold. 10. The computer-implemented method according to claim 9 , wherein the force sensor is included within the compression paddle. 11. The computer-implemented method according to claim 9 , wherein the corrective action includes determining and displaying a movement score on a display device. 12. The computer-implemented method according to claim 9 , wherein the corrective action includes displaying an alert on a display device indicating that the movement threshold has been exceeded. 13. The computer-implemented method according to claim 9 , wherein the corrective action includes triggering a visual indicator of an imaging system. 14. The computer-implemented method according to claim 9 , wherein determining whether deleting the first image from the plurality of images exceeds the image removal threshold further comprises identifying each image of the plurality of images associated with a movement signal exceeding the movement threshold. 15. The computer-implemented method according to claim 14 , wherein determining whether deleting the first image from the plurality of images exceeds the image removal threshold comprises determining that deleting the first image would not exceed the image removal threshold; and the corrective action comprises deleting the first image from the plurality of images. 16. The computer-implemented method according to claim 15 , wherein determining whether deleting the first image from the plurality of images exceeds the image removal threshold comprises determining that deleting the first image would exceed the image removal threshold; and the corrective action comprises cancelling the imaging sequence. 17. An article comprising a non-transitory computer-readable storage medium including instructions that, when executed by a processor, cause a system to perform the computer-implemented method of claim 9 .
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