Medical imaging systems and associated devices and methods
Systems, methods, and devices for medical imaging are disclosed herein. In some embodiments, a method for imaging an anatomic region includes receiving, from a detector carried by an imaging arm of an x-ray imaging apparatus, a plurality of images of the anatomic region. The images can be obtained during manual rotation of the imaging arm. The imaging arm can be stabilized by a shim structure during the manual rotation. The method can also include receiving, from at least one sensor coupled to the imaging arm, pose data of the imaging arm during the manual rotation. The method can further include generating, based on the images and the pose data, a 3D representation of the anatomic region.
1. A method for operating a mobile C-arm apparatus, the method comprising:
receiving, from a detector carried by an imaging arm of the mobile C-arm apparatus, a plurality of first images of a set of fiducial markers, wherein the first images are obtained during a first manual rotation of the imaging arm;
receiving, from a motion sensor coupled to the imaging arm, first pose data of the imaging arm during the first manual rotation;
determining a set of calibration parameters for the mobile C-arm apparatus based on the first images and the first pose data;
receiving, from the detector, a plurality of second images of an anatomic region of a patient, wherein the second images are obtained during a second manual rotation of the imaging arm;
receiving, from the motion sensor, second pose data of the imaging arm during the second manual rotation; and
generating a 3D reconstruction of the anatomic region based on the second images, the second pose data, and the calibration parameters.
2. The method of claim 1 , wherein the first manual rotation and the second manual rotation each comprise a propeller rotation of the imaging arm.
3. The method of claim 1 , wherein the first manual rotation and the second manual rotation each comprise an orbital rotation of the imaging arm.
4. The method of claim 1 , wherein the motion sensor comprises an accelerometer.
5. The method of claim 1 , further comprising:
associating each of the first images with a corresponding pose of the imaging arm at a time when the first image was obtained, and
associating each of the second images with a corresponding pose of the imaging arm at a time when the second image was obtained.
6. The method of claim 1 , wherein the set of calibration parameters comprises geometric calibration parameters.
7. The method of claim 6 , wherein the geometric calibration parameters comprise one or more of a piercing point, skewness, pitch, roll, tilt, or source-to-detector distance of the mobile C-arm apparatus.
8. The method of claim 1 , wherein the set of calibration parameters comprises distortion correction parameters.
9. The method of claim 1 , further comprising applying one or more of the calibration parameters to at least some of the second images before generating the 3D reconstruction.
10. The method of claim 1 , wherein the 3D reconstruction comprises a cone-beam computed tomography reconstruction.
11. A system for imaging an anatomic region, the system comprising:
one or more processors operably coupled to a mobile C-arm apparatus; and
a memory operably coupled to the one or more processors and storing instructions that, when executed by the one or more processors, cause the system to perform operations comprising:
receiving, from a detector carried by an imaging arm of the mobile C-arm apparatus, a plurality of first images of a set of fiducial markers, wherein the first images are obtained during a first manual rotation of the imaging arm;
receiving, from a motion sensor coupled to the imaging arm, first pose data of the imaging arm during the first manual rotation;
determining a set of calibration parameters for the mobile C-arm apparatus based on the first images and the first pose data;
receiving, from the detector, a plurality of second images of an anatomic region of a patient, wherein the second images are obtained during a second manual rotation of the imaging arm;
receiving, from the motion sensor, second pose data of the imaging arm during the second manual; and
generating a 3D reconstruction of an anatomic region of a patient based on the second images, the second pose data, and the calibration parameters.
12. The system of claim 11 , wherein the first manual rotation and the second manual rotation each comprise a propeller rotation of the imaging arm.
13. The system of claim 11 , wherein the first manual rotation and the second manual rotation each comprise an orbital rotation of the imaging arm.
14. The system of claim 11 , wherein the motion sensor comprises an accelerometer.
15. The system of claim 11 , wherein the operations further comprise:
associating each of the first images with a corresponding pose of the imaging arm at a time when the first image was obtained, and
associating each of the second images with a corresponding pose of the imaging arm at a time when the second image was obtained.
16. The system of claim 11 , wherein the set of calibration parameters comprises geometric calibration parameters.
17. The system of claim 16 , wherein the geometric calibration parameters comprise one or more of a piercing point, skewness, pitch, roll, tilt, or source-to-detector distance of the mobile C-arm apparatus.
18. The system of claim 11 , wherein the set of calibration parameters comprises distortion correction parameters.
19. The system of claim 11 , wherein the operations further comprise applying one or more of the calibration parameters to at least some of the second images before generating the 3D reconstruction.
20. The system of claim 11 , wherein the 3D reconstruction comprises a cone-beam computed tomography reconstruction.