Abstract: A medical imaging system includes a CT imaging system including a gantry having a bore, rotatable about an axis of rotation. The CT imaging system includes a table configured to move a subject to be imaged into and out of the bore, a radiation source mounted on the gantry and configured to emit an X-ray beam, and a detector configured to detect the X-ray beam. The medical imaging system includes a LiDAR scanning system physically coupled to the CT imaging system. The LiDAR scanning system is configured to acquire data of the subject from different angular positions relative to the axis of rotation. The medical imaging system includes processing circuitry configured to receive the data acquired with the LiDAR scanning system, to generate a three-dimensional (3D) measurement of the subject, and to utilize the 3D measurement in a subsequent workflow process for a CT scan of the subject.

Abstract: A method for verifying aperture positions of a pre-patient collimator of a computed tomography (CT) imaging system includes obtaining data collected by an X-ray measurement device having detector elements subjected to X-rays emitted from an X-ray source of the CT imaging system with the pre-patient collimator at an expected aperture position. The method also includes calculating a measured collimator aperture position for the pre-patient collimator based on the obtained data. The method further includes comparing the measured collimator aperture position to a system specification for the expected aperture position for the CT imaging system. The method even further includes generating an output based on the comparison of the measured collimator aperture position to the system specification.

Abstract: Methods and systems are provided for calibrating a medical imaging system. In one example, a method includes identifying a calibration vector to be updated based on an artifact in an image acquired with the medical imaging system, determining calibration data to be obtained with the medical imaging system based on the calibration vector, obtaining the calibration data with the medical imaging system, and updating the calibration vector based on the calibration data.

Abstract: Systems/techniques that facilitate low-cost estimation and/or tracking of intra-scan focal-spot displacement are provided. In various embodiments, a system can cause a medical imaging scanner to perform an air scan. In various aspects, the system can access data produced by the medical imaging scanner and relating to the air scan, where the data can include a set of gantry angles swept by an X-ray tube during the air scan, where the data can include a set of intensity value matrices recorded by a multi-channel-multi-row detector during the air scan, and where the set of intensity value matrices respectively correspond to the set of gantry angles. In various instances, the system can compute a set of channel-spanning intensity slopes based on the set of intensity value matrices. In various cases, the system can apply a slope-to-displacement transfer function to the set of channel-spanning intensity slopes, thereby yielding a set of focal-spot displacements.

Abstract: Systems/techniques that facilitate thermally adaptive scan sequencing for computed tomography scanners are provided. In various embodiments, a system can access a set of scanning protocols performable by a computed tomography scanner. In various aspects, the system can further access a current thermal state of the computed tomography scanner. In various instances, the system can identify, in the set of scanning protocols and based on the current thermal state, a scanning protocol that is predicted to reduce or control thermal stresses experienced by the computed tomography scanner. In various cases, the system can cause the computed tomography scanner to perform the identified scanning protocol.

Abstract: A computer-implemented method includes obtaining, at a processor, a tomographic image of a phantom, wherein the phantom includes heterogeneous regions having a plurality of materials with varying attenuation coefficients. The method also includes automatically segmenting, via the processor, the heterogeneous regions from the tomographic image to generate a segmented image. The method further includes automatically identifying, via the processor, a plurality of regions of interest having varying attenuation coefficients within the tomographic image based on the segmented image. The method still further includes automatically labeling, via the processor, each region of interest of the plurality of regions of interest as representing a particular material of the plurality of materials. The method even further includes outputting, via the processor, a labeled image of the tomographic image. The method may be utilized in quality assurance testing and calibration.

Abstract: A method for verifying aperture positions of a pre-patient collimator of a computed tomography (CT) imaging system includes obtaining data collected by an X-ray measurement device having detector elements subjected to X-rays emitted from an X-ray source of the CT imaging system with the pre-patient collimator at an expected aperture position. The method also includes calculating a measured collimator aperture position for the pre-patient collimator based on the obtained data. The method further includes comparing the measured collimator aperture position to a system specification for the expected aperture position for the CT imaging system. The method even further includes generating an output based on the comparison of the measured collimator aperture position to the system specification.