Techniques for patient positioning quality assurance prior to mammographic image acquisition
Techniques for patient positioning quality assurance prior to mammographic image acquisition are described. A system may include an x-ray source configured to expose human tissue to radiation. An x-ray detector module may be configured to detect the radiation and generate a pre-diagnostic image of the human tissue. A position analysis module may be configured to receive the pre-diagnostic image and determine whether the human tissue is positioned correctly based upon one or more predefined positioning criteria. A non-transitory computer-readable storage medium may be configured to store the results of the positional analysis module determination. A display may be configured to display the determination of the position analysis module within a user interface. Other embodiments are described and claimed.
1. An imaging system, comprising:
an x-ray source;
an x-ray detector;
a processor; and
memory coupled to the processor, wherein the memory includes instructions that, when performed by the processor, cause the imaging system to:
expose a human tissue to radiation emitted from the x-ray source at pre-diagnostic dose levels;
detect the radiation at the x-ray detector;
generate a pre-diagnostic image of the human tissue based at least in part on the detected radiation;
detecting one or more anatomical landmarks; and
based at least in part on the pre-diagnostic image, determine whether the human tissue is positioned correctly based upon comparing the one or more detected anatomical landmarks to one or more predefined positioning criteria.
2. The imaging system according to claim 1 , wherein the pre-diagnostic image is of a lower resolution than a diagnostic image.
3. The imaging system according to claim 1 , wherein the memory includes instructions that, when performed by the processor, cause the imaging system to:
generate the pre-diagnostic image of the human tissue, wherein the pre-diagnostic image is an automated exposure control (AEC) scout image.
4. The imaging system of claim 1 , wherein the one or more detected anatomical landmarks are selected from a group comprising an inframammary fold, a nipple, pectoral muscles, or a chest wall.
5. The imaging system according to claim 1 , wherein the one or more predefined positioning criteria include a comparison between the pre-diagnostic image and one or more of previous pre-diagnostic images or previous diagnostic images.
6. The imaging system according to claim 1 , further comprising a display configured to display a user interface and a determination of whether the human tissue is positioned correctly within the user interface.
7. The imaging system according to claim 1 , wherein the pre-diagnostic image is of a substantially similar resolution to a diagnostic image.
8. A computer-implemented method, comprising:
exposing a human tissue to radiation by an x-ray source;
detecting the radiation by an x-ray detector;
generating a pre-diagnostic image of the human tissue;
receiving the pre-diagnostic image at a position analysis module;
detecting one or more anatomical landmarks; and
determining, by the position analysis module, whether the human tissue is positioned correctly based upon comparing the one or more detected anatomical landmarks to one or more predefined positioning criteria.
9. The computer-implemented method according to claim 8 , wherein generating the pre-diagnostic image of the human tissue comprises generating the pre-diagnostic image of the human tissue at a radiation level less than a radiation level to generate a diagnostic image.
10. The computer-implemented method according to claim 8 , wherein generating the pre-diagnostic image of the human tissue comprises generating an automated exposure control (AEC) scout image.
11. The computer-implemented method of claim 8 , further comprising selecting the one or more detected anatomical landmarks from a group comprising an inframammary fold, a nipple, pectoral muscles, or a chest wall.
12. The computer-implemented method according to claim 8 , further comprising comparing the pre-diagnostic image and one or more of previous pre-diagnostic images or previous diagnostic images, and generating the one or more predefined positioning criteria based on the comparing of the pre-diagnostic image and the one or more of previous pre-diagnostic images or the previous diagnostic images.
13. The computer-implemented method according to claim 8 , further comprising displaying, by a display device, a result of the determining operation by the position analysis module.
14. The computer-implemented method according to claim 8 , wherein the pre-diagnostic image is of a substantially similar resolution to a diagnostic image.
15. The computer-implemented method according to claim 8 , further comprising taking automatically a diagnostic image based upon the determining operation by the position analysis module.
16. The computer-implemented method according to claim 8 , further comprising stopping automatically a diagnostic image procedure based upon the determining operation by the position analysis module.
17. The computer-implemented method according to claim 8 , further comprising receiving a user input based upon the determining operation by the position analysis module, and interrupting a diagnostic imaging procedure in response to the received user input.
18. 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 8 .