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 comprising:
performing a first manual rotation of an imaging arm of an x-ray imaging apparatus;
obtaining, using a detector carried by the imaging arm, a plurality of first images of a set of fiducial markers during the first manual rotation;
obtaining, using a motion sensor coupled to the imaging arm, first pose data of the imaging arm during the first manual rotation;
determining, using one or more processors, a set of calibration parameters for the x-ray imaging apparatus based on the first images and the first pose data;
performing a second manual rotation of the imaging arm of the x-ray imaging apparatus;
obtaining, using the detector, a plurality of second images of an anatomic region of a patient during the second manual rotation;
obtaining, using the motion sensor, second pose data of the imaging arm during the second manual rotation; and
generating, using the one or more processors, a 3D representation 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 x-ray imaging apparatus is a mobile C-arm apparatus.
3 . The method of claim 1 , wherein the imaging arm is not motorized.
4 . The method of claim 1 , wherein the first manual rotation and the second manual rotation each comprise a propeller rotation of the imaging arm.
5 . The method of claim 1 , wherein the first manual rotation and the second manual rotation each comprise an orbital rotation of the imaging arm.
6 . The method of claim 1 , wherein the first manual rotation and the second manual rotation each comprise a rotation of at least 100°.
7 . The method of claim 1 , wherein the motion sensor comprises an accelerometer, a gyroscope, an inertial measurement unit, or a combination thereof.
8 . The method of claim 1 , wherein the detector comprises a flat panel detector.
9 . The method of claim 1 , wherein the detector comprises an image intensifier.
10 . The method of claim 1 , wherein the set of calibration parameters comprises geometric calibration parameters, distortion correction parameters, or a combination thereof.
11 . The method of claim 1 , wherein the set of calibration parameters comprises a lookup table storing a plurality of angles of the imaging arm and one or more calibration parameters for each angle.
12 . The method of claim 11 , wherein generating the 3D representation comprises, for each second image of the plurality of the second images:
determining a target angle of the imaging arm at a time the second image was obtained based on the second pose data,
retrieving, from the lookup table, one or more calibration parameters for an angle corresponding to the target angle of the imaging arm, and
adjusting the second image using the retrieved one or more calibration parameters.
13 . The method of claim 1 , wherein the 3D representation is generated without using a fiducial marker board positioned near the patient.
14 . The method of claim 1 , wherein the 3D representation comprises a cone-beam computed tomography reconstruction.
15 . The method of claim 1 , further comprising performing an alignment process before performing the second manual rotation.
16 . The method of claim 15 , wherein the alignment process comprises:
obtaining, using the detector, one or more test images of the anatomic region, and
identifying, using the one or more processors, image locations in the one or more test images that would be visible in a 3D representation generated from the one or more test images.
17 . The method of claim 16 , wherein the alignment process comprises outputting, on a display, the one or more test images together with an indicator representing the image locations that would be visible in the 3D representation generated from the one or more test images.
18 . The method of claim 1 , wherein the anatomic region is part of a lung of the patient.
19 . The method of claim 1 , wherein the anatomic region is part of a musculoskeletal system of the patient.
20 . The method of claim 1 , wherein the imaging arm is stabilized during the first manual rotation and the second manual rotation.
21 . A method comprising:
performing a first manual rotation of an imaging arm of an x-ray imaging apparatus;
obtaining, using a detector carried by the imaging arm, a plurality of first images of a set of fiducial markers during the first manual rotation;
obtaining first data indicative of a plurality of first poses of the imaging arm during the first manual rotation;
determining, using one or more processors, a set of calibration parameters for the x-ray imaging apparatus based on the first images and the first data;
performing a second manual rotation of the imaging arm of the x-ray imaging apparatus;
obtaining, using the detector, a plurality of second images of an anatomic region of a patient during the second manual rotation;
obtaining second data indicative of a plurality of second poses of the imaging arm during the second manual rotation; and
generating, using the one or more processors, a 3D representation of the anatomic region based on the second images, the second data, and the calibration parameters.
22 . The method of claim 21 , wherein the x-ray imaging apparatus is a mobile C-arm apparatus.
23 . The method of claim 21 , wherein the first manual rotation and the second manual rotation each comprise a propeller rotation or an orbital rotation of the imaging arm.
24 . The method of claim 21 , wherein the first manual rotation and the second manual rotation each comprise a rotation of at least 100°.
25 . The method of claim 21 , wherein the first data and the second data are obtained using a motion sensor coupled to the imaging arm.
26 . The method of claim 21 , wherein the first data and the second data are obtained using an imaging device that is configured to image one or more fiducial markers on the imaging arm.
27 . The method of claim 21 , wherein the set of calibration parameters comprises geometric calibration parameters, distortion correction parameters, or a combination thereof.
28 . The method of claim 21 , wherein the set of calibration parameters comprises a lookup table storing a plurality of angles of the imaging arm and one or more calibration parameters for each angle.
29 . The method of claim 28 , wherein generating the 3D representation comprises, for each second image of the plurality of the second images:
determining a target angle of the imaging arm at a time the second image was obtained based on the second data,
retrieving, from the lookup table, one or more calibration parameters for an angle corresponding to the target angle of the imaging arm, and
adjusting the second image using the retrieved one or more calibration parameters.
30 . The method of claim 21 , wherein the 3D representation comprises a cone-beam computed tomography reconstruction.