General Electric Company

Srikrishnan Viswanathan

Kris Filip Johan Jules Thielemans

Sheshadri Thiruvenkadam

Nasir Ahmed Desai

Xin Li

John Eric Tkaczyk

Ravindra Mohan Manjeshwar

Rakesh Mullick

Gireesha Chinthamani Rao

Krishna Seetharam Shriram

Katelyn Rose Nye

Bin Ye

Arun Kumar Chandrashekarappa

Manu Ramesh

Qingyong Ding

Youyou Chen

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.

Virtual positioning image for use in imaging

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.

System and method for calibrating an imaging system

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.

System and method for data driven gating of multiple bed positions

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.

Method and system for processing gated image data

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Bengaluru, India

Srikrishnan Viswanathan