Abstract: The present approach relates to the use of augmented or enhanced reality to facilitate positioning of one or more of a patient, X-ray source, or detector during an image acquisition. In certain implementations, sensors and/or cameras provide quantitative information about the position of system components and the patient, which may be used to generate a positioning signal (positioning image audio or textual positioning instructions) based upon reference to a prior patient image.

Abstract: A method of calibrating a system for imaging a subject is provided. The method includes determining a position of an X-ray source of the system operative to transmit X-rays through the subject; and calibrating the position of the X-ray source with respect to a detector of the system, based at least in part on a field of view of the X-ray source, the detector operative to receive the X-rays transmitted by the X-ray source. In embodiments, the method includes positioning an X-ray source of the system via a controller at one or more calibration positions based at least in part on at least one camera of the system. In such embodiments the X-ray source is disposed on a mobile arm and operative to transmit X-rays through the subject, and a field of view of the X-ray source is directed substantially towards the detector at each of the calibration positions.

Abstract: A method of calibrating a system for imaging a subject is provided. The method includes determining a position of an X-ray source of the system operative to transmit X-rays through the subject; and calibrating the position of the X-ray source with respect to a detector of the system, based at least in part on a field of view of the X-ray source, the detector operative to receive the X-rays transmitted by the X-ray source. In embodiments, the method includes positioning an X-ray source of the system via a controller at one or more calibration positions based at least in part on at least one camera of the system. In such embodiments the X-ray source is disposed on a mobile arm and operative to transmit X-rays through the subject, and a field of view of the X-ray source is directed substantially towards the detector at each of the calibration positions.

Abstract: The present approach relates to the use of augmented or enhanced reality to facilitate positioning of one or more of a patient, X-ray source, or detector during an image acquisition. In certain implementations, sensors and/or cameras provide quantitative information about the position of system components and the patient, which may be used to generate a positioning signal (positioning image audio or textual positioning instructions) based upon reference to a prior patient image.

Abstract: A method implemented using at least one processor includes receiving time-varying image dataset generated by a medical imaging modality. The image dataset corresponds to a bed position and is affected by quasi-periodic motion data. The method also includes applying a signal decomposition technique to the time-varying image dataset to generate a plurality of dataset components and a plurality of motion signals. The method also includes determining reference data based on the time-varying image dataset, wherein the reference data is representative of a direction of the quasi-periodic motion. The method further includes deriving polarity of each of the plurality of motion signals based on the reference data to generate a plurality of sign corrected motion signals. The method also includes determining a gating signal corresponding to the bed position based on at least one of the plurality of sign corrected motion signals.

Abstract: A method implemented using at least one processor includes receiving time-varying image dataset generated by a medical imaging modality. The image dataset corresponds to a bed position and is affected by quasi-periodic motion data. The method also includes applying a signal decomposition technique to the time-varying image dataset to generate a plurality of dataset components and a plurality of motion signals. The method also includes determining reference data based on the time-varying image dataset, wherein the reference data is representative of a direction of the quasi-periodic motion. The method further includes deriving polarity of each of the plurality of motion signals based on the reference data to generate a plurality of sign corrected motion signals. The method also includes determining a gating signal corresponding to the bed position based on at least one of the plurality of sign corrected motion signals.

Abstract: A method of image object tracking and segmentation is provided. The method includes defining an initial contour for tracking an image object and partitioning the initial contour into a plurality of contour segments. The method also includes estimating a weighted length of each of the plurality of contour segments and generating a desired contour by converging the plurality of contour segments to a plurality of edges of the image object using the estimated weighted length.

Abstract: A method for generating an image is provided. The method comprises: acquiring a first set of image data using a first imaging modality; sorting the first set of image data into a plurality of gates to generate a plurality of gated data sets; reconstructing each gated data set to generate a respective gated image for each gated data set; registering the respective gated images to generate a plurality of registered images; and generating a median image from the plurality of registered images, wherein each voxel of the median image is a respective median value of the corresponding voxels of the plurality of registered images.

Abstract: A method for generating an image is provided. The method comprises: acquiring a first set of image data using a first imaging modality; sorting the first set of image data into a plurality of gates to generate a plurality of gated data sets; reconstructing each gated data set to generate a respective gated image for each gated data set; registering the respective gated images to generate a plurality of registered images; and generating a median image from the plurality of registered images, wherein each voxel of the median image is a respective median value of the corresponding voxels of the plurality of registered images.