Optimal scan pattern for medical imaging device

1. A method, comprising:

obtaining, by a device, image data associated with an image of a section of a body,

wherein the image data is obtained via a scout scan of the section that is performed by a medical image device;

analyzing, by the device, the image data to identify an object within the section;

determining, by the device and based on a position of the object as depicted in the image, a region of the section that is likely represented by an artifact in the image that is associated with the object;

determining, by the device and based on the region of the artifact, a plurality of scan patterns for scanning the region;

determining, by the device and for the plurality of scan patterns, individual scan scores associated with scanning the region,

wherein an individual scan score, of the individual scan scores, indicates a level of coverage of a scan pattern associated with the individual scan score;

selecting, by the device and based on the individual scan scores, an optimal scan pattern from the plurality of scan patterns; and

causing, by the device, the medical imaging device to perform a subsequent scan of the section according to the optimal scan pattern to obtain an optimal image of the region that is associated with a reduction or removal of the artifact.

2. The method of claim 1 , wherein analyzing the image data comprises:

using an image processing technique to analyze the image data, wherein the image processing technique is configured to identify one or more types of objects in images based on at least one of:

pixel values that are used to depict the one or more types of objects,

locations of the one or more types of objects,

shapes of the one or more types of objects, or

sizes of the one or more types of objects.

3. The method of claim 1 , wherein determining the region of the section comprises:

determining, based on analyzing the image data, an anatomical characteristic of the section, locations of the region within the section, and an object characteristic of the object; and

using a machine learning model to determine the region based on the anatomical characteristic, the location of the region within the section, and the object characteristic of the object,

wherein the machine learning model was trained based on historical images of bodies that include one or more objects and artifacts generated based on the bodies including the one or more objects.

4. The method of claim 1 , wherein determining the plurality of scan patterns comprises:

determining the position of the object;

determining a characteristic of the section;

determining scan settings associated with a scanner of the medical imaging device performing the subsequent scan of the section; and

generating respective sets of scan trajectories of the scanner for the plurality of scans patterns based on the position of the object, the characteristic of the section, and the scan settings.

5. The method of claim 1 , wherein the artifact is one artifact of a plurality of artifacts in the image,

wherein the region is associated with locations of the section that are likely represented by the plurality of artifacts in the image.

6. The method of claim 1 , wherein determining the individual scan scores comprises:

for a scan pattern of the plurality of scan patterns:

identifying locations of the region;

determining a percentage of the locations that are included in at least one scan plane of a trajectory of the scan pattern; and

determining a scan score for the scan pattern based on the percentage of the locations.

7. The method of claim 1 , wherein selecting the optimal scan pattern comprises:

identifying, from the individual scan scores, an optimal scan score that indicates that a largest percentage of the region is included in at least one scan plane of a trajectory of a scan pattern associated with the optimal scan score; and

designating the scan pattern as the optimal scan pattern.

8. The method of claim 1 , wherein the medical imaging device comprises:

a computed tomography (CT) scanner; and

a robotic arm that supports the CT scanner and is configured to permit the medical imaging device to move the CT scanner in one or more non-circular trajectories of the optimal scan pattern to obtain the optimal image.

9. A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising:

one or more instructions that, when executed by one or more processors of a device, cause the device to:

obtain object information associated with an object positioned within a section of a body that is to be scanned by a medical imaging device,

wherein the object information includes an object characteristic associated with the object;

determine, based on the object characteristic, a region associated with the object that is likely to be represented by an artifact in an image generated by the medical imaging device according to the medical imaging device using a circular trajectory scan;

determine, based on the region and information associated with the medical imaging device, a plurality of scan patterns associated with non-circular trajectory scans;

select, based on individual scan scores of the plurality of scan patterns, an optimal scan pattern from the plurality of scan patterns,

wherein a scan score of the individual scan scores is associated with a predicted severity of the artifact generated according to a corresponding scan pattern used to scan the region; and

perform an action associated with scanning the section using the optimal scan pattern to obtain an image of the region.

10. The non-transitory computer-readable medium of claim 9 , wherein the object characteristic of the object includes at least one of:

a position of the object within the section;

a material of the object;

a type of the object;

a size of the object; or

a shape of the object.

11. The non-transitory computer-readable medium of claim 9 , wherein the object information is obtained based on an analysis of image data associated with a scout scan performed by the medical imaging device,

wherein the medical imaging device used the circular trajectory scan for the scout scan.

12. The non-transitory computer-readable medium of claim 9 , wherein the information associated with the medical imaging device includes at least one of:

information that identifies a frame rate of a scanner of the medical imaging device;

information that identifies a resolution of the scanner; or

information that identifies trajectory limitations of the scanner.

13. The non-transitory computer-readable medium of claim 9 , wherein the one or more instructions, that cause the device to perform an action associated with scanning the section, cause the device to:

provide, via a user interface, information associated with the optimal scan pattern; or

transmit the optimal scan pattern to the medical imaging device to cause the medical imaging device to perform a scan according to the optimal scan pattern.

14. The non-transitory computer-readable medium of claim 9 , wherein the medical imaging device comprises:

a computed tomography (CT) scanner; and

a robotic arm that supports the CT scanner and is configured to permit the medical imaging device to move the CT scanner in one or more non-circular trajectories associated with a non-circular trajectory scan.

15. A device, comprising:

one or more memories; and

one or more processors, communicatively coupled to the one or more memories, configured to:

obtain scan information associated with scanning a section of a body that includes an object within tissue of the section;

determine, based on the scan information, a region of the section that is likely to be represented by an artifact in an image obtained using a first scanning type of a medical image device;

determine, based on the region of the artifact, a plurality of scan patterns for scanning the region using a second scanning type;

determine for the plurality of scan patterns, individual scan scores associated with scanning the region;

select, based on the individual scan scores, an optimal scan pattern from the plurality of scan patterns; and

transmit the optimal scan pattern to the medical imaging device to permit the medical imaging device to scan the section to obtain optimized image data associated with the region.

16. The device of claim 15 , wherein the scan information includes body information associated with the section and object information associated with the object,

wherein the region of the section is determined based on at least one of:

an anatomy of the section identified in the body information;

a dimension of the section identified in the body information;

a location of the object within the section identified in the object information;

a material of the object identified in the object information;

a type of the object identified in the object information;

a size of the object identified in the object information; or

a shape of the object identified in the object information.

17. The device of claim 15 , wherein the plurality of scan patterns are determined based on at least one of:

an anatomy of the section that is identified in the scan information;

a dimension of the section that is identified in the scan information;

trajectory limitations of a scanner of the medical imaging device that is identified in the scan information; or

a setting of the scanner for scanning the section that is identified in the scan information.

18. The device of claim 15 , wherein the first scanning type is associated with a scanner of the medical imaging device using a circular scan trajectory and the second scanning type is associated with the scanner of the medical imaging device using a non-circular scan trajectory.

19. The device of claim 15 , wherein the individual scan scores, are associated with percentages of the region that are included in a scan plane, of trajectories of the plurality of scan patterns, that does not include the object.

20. The device of claim 15 , wherein the one or more processors, when selecting the optimal scan pattern, are configured to:

select the optimal scan pattern being associated with a scan score that indicates that the optimal scan pattern includes trajectories that provide scan planes that are configured to cover a largest portion of the region, relative to the plurality of scan patterns, without including the object.