Methods and systems for cone-beam computed tomography

1. A method for an imaging apparatus, comprising:

calculating a likelihood of a collision between the imaging apparatus and one or more of a subject and a subject support based on a model of the subject;

performing a scan of the subject responsive to the likelihood below a threshold; and

not performing the scan otherwise.

2. The method of claim 1 , further comprising calculating the likelihood of the collision based on a shape and a size of the subject and a trajectory of a source and a detector of the imaging apparatus.

3. The method of claim 1 , further comprising calculating the model of the subject based on one or more of a height of the subject and a weight of the subject.

4. The method of claim 1 , further comprising calculating the model of the subject based on one or more of prior image reconstructions and fluoroscopic exposures.

5. The method of claim 1 , further comprising calculating the model of the subject based on a position of the subject sensed by a sensor coupled to the imaging apparatus.

6. The method of claim 1 , further comprising calculating a position of the subject support upon which the subject rests, such that a region of interest (ROI) of the subject coincides with a field of view (FOV) of the imaging apparatus.

7. The method of claim 6 , wherein calculating the likelihood of the collision is further based on the position of the subject support.

8. An imaging system, comprising:

a gantry;

a source coupled to the gantry and configured to generate energy;

a detector coupled to the gantry opposite the source and configured to detect the energy;

a patient support positioned between the source and the detector; and

a processor communicatively coupled to the gantry, the source, the detector, and the patient support, the processor configured with instructions in non-transitory memory that, when executed, cause the processor to:

calculate a position of the patient support such that a region of interest of a subject resting on the patient support coincides with a field of view between the source and the detector;

calculate a likelihood of a collision of the source and the detector with the subject and the patient support if the patient support is positioned at the calculated position; and

responsive to the likelihood of the collision being below a threshold, adjust the patient support to the calculated position.

9. The imaging system of claim 8 , wherein the processor is further configured with instructions in non-transitory memory that, when executed, cause the processor to calculate the likelihood of the collision based on one or more of a shape, a size, and a weight of the subject and a trajectory of the source and the detector of the imaging system.

10. The imaging system of claim 9 , wherein the threshold is based on an extent of overlap between the trajectory of the source and the detector with the patient support and/or a subject envelope.

11. The imaging system of claim 10 , wherein the subject envelope is based on one or more of a prior image reconstruction, a fluoroscopic image, or sensor output.

12. The imaging system of claim 8 , wherein the processor is further configured with instructions in non-transitory memory that, when executed, cause the processor to:

re-calculate a new position of the patient support; and

re-evaluate the likelihood of the collision at the new position, responsive to the likelihood of the collision being above the threshold.

13. A method, comprising:

receiving a request to image an anatomy of a patient;

automatically positioning the patient on a support at a position determined based on one or more of a patient envelope and the anatomy of the patient; and

evaluating a feasibility of performing a rotational acquisition of a scan using an imaging system on the patient by computing a likelihood of collision between the imaging system and one or more of the support and the patient.

14. The method of claim 13 , further comprising determining the patient envelope based on a patient model further based on one or more of a height of the patient, a weight of the patient, body mass index of the patient, and a thickness of the patient determined using one or more of prior images and output of sensors embedded in the imaging system.

15. The method of claim 13 , wherein the imaging system includes a detector and a source mounted on an armature of the imaging system.

16. The method of claim 15 , wherein computing the likelihood of collision between the imaging system and one or more of the support and the patient comprises computing a higher likelihood of collision when a trajectory of the armature intersects with an envelope of the support and/or the patient envelope.

17. The method of claim 16 , wherein computing the likelihood of collision between the imaging system and one or more of the support and the patient comprises computing a lower likelihood of collision when the trajectory of the armature does not intersect with the envelope of the support and/or the patient envelope.

18. The method of claim 17 , further comprising performing the scan when the likelihood of collision is lower than a threshold at the position of the support of the patient.

19. The method of claim 15 , further comprising one or more of aborting the scan and alerting an operator of the imaging system about a possibility of collision when the likelihood of collision is higher than a threshold.

20. The method of claim 19 , further comprising prompting the operator to re-adjust the position of the support to a new position, and re-evaluate the feasibility of performing the scan at the new position.