Systems and methods for registering headset system
Arrangements described herein relate to systems, apparatuses, and methods for a headset system that includes a transducer, a camera configured to capture image data of a subject, and a controller configured to detect one or more fiducial markers placed on the subject using the captured image data, and register the transducer with respect to the subject based on the detected fiducial markers.
1. A method for operating a transducer of a headset system that collects ultrasound data from a subject, the method comprising:
detecting two or more fiducial markers placed on the subject by:
identifying a plurality of candidate regions using image data; and
selecting two or more candidate regions of the plurality of candidate regions as corresponding to the two or more fiducial markers;
determining a scanning area of the subject bounded by the two or more fiducial markers; and
restricting the transducer from traveling beyond the scanning area while the transducer collects the ultrasound data.
2. The method of claim 1 , wherein the plurality of candidate regions are identified using the image data based on machine vision.
3. The method of claim 1 , wherein the plurality of candidate regions are identified using the image data based on a Maximally Stable Extremal Regions (MSER) algorithm.
4. The method of claim 1 , wherein the image data comprises two images of the subject from different viewpoints.
5. The method of claim 1 , wherein each of the plurality of candidate regions comprises a list of pixels.
6. The method of claim 1 , wherein selecting the two or more candidate regions of the plurality of candidate regions as corresponding to the two or more fiducial markers comprises:
sorting the plurality of candidate regions into candidate region pairs;
determining features for each of the candidate region pairs;
determining a probability that each of the candidate region pairs corresponds to the two or more fiducial markers; and
selecting the two or more candidate regions based on the probability.
7. The method of claim 6 , wherein sorting the plurality of candidate regions into the candidate region pairs comprises determining permutations of pairings of the plurality of candidate regions.
8. The method of claim 6 , wherein each of the features comprise one or more of a location, a size, a shape, an image intensity, or a local texture.
9. The method of claim 8 , wherein the probability that each of the candidate region pairs corresponds to the two or more fiducial markers is determined based on the one or more of the location, the size, the shape, the image intensity, or the local texture.
10. The method of claim 6 , wherein the probability that each of the candidate region pairs corresponds to the two or more fiducial markers is determined based on a weight assigned to each of the features.
11. A non-transitory computer-readable medium having computer-readable instructions, such that when executed, causes a processor of a headset system to operate a transducer of the headset system that collects ultrasound data from a subject by:
detecting two or more fiducial markers placed on the subject by:
identifying a plurality of candidate regions using image data; and
selecting two or more candidate regions of the plurality of candidate regions as corresponding to the two or more fiducial markers;
determining a scanning area of the subject bounded by the two or more fiducial markers; and
restricting the transducer from traveling beyond the scanning area while the transducer collects the ultrasound data.
12. The non-transitory computer-readable medium of claim 11 , wherein the plurality of candidate regions are identified using the image data based on machine vision.
13. The non-transitory computer-readable medium of claim 11 , wherein the image data comprises two images of the subject from different viewpoints.
14. The non-transitory computer-readable medium of claim 11 , wherein each of the plurality of candidate regions comprises a list of pixels.
15. The non-transitory computer-readable medium of claim 11 , wherein selecting the two or more candidate regions of the plurality of candidate regions as corresponding to the two or more fiducial markers comprises:
sorting the plurality of candidate regions into candidate region pairs;
determining features for each of the candidate region pairs;
determining a probability that each of the candidate region pairs corresponds to the two or more fiducial markers; and
selecting the two or more candidate regions based on the probability.
16. The non-transitory computer-readable medium of claim 15 , wherein sorting the plurality of candidate regions into the candidate region pairs comprises determining permutations of pairings of the plurality of candidate regions.
17. The non-transitory computer-readable medium of claim 15 , wherein each of the features comprise one or more of a location, a size, a shape, an image intensity, or a local texture.
18. The non-transitory computer-readable medium of claim 17 , wherein the probability that each of the candidate region pairs corresponds to the two or more fiducial markers is determined based on the one or more of the location, the size, the shape, the image intensity, or the local texture.
19. The non-transitory computer-readable medium of claim 15 , wherein the probability that each of the candidate region pairs corresponds to the two or more fiducial markers is determined based on a weight assigned to each of the features.
20. A system, comprising:
a controller configured to:
detect two or more fiducial markers placed on a subject by:
identifying a plurality of candidate regions using image data; and
selecting two or more candidate regions of the plurality of candidate regions as corresponding to the two or more fiducial markers;
determine a scanning area of the subject bounded by the two or more fiducial markers; and
restrict the transducer from traveling beyond the scanning area while the transducer collects ultrasound data.