Abstract: Systems and methods for improved image denoising using a deep learning network model are disclosed. An example system includes an input data processor to process a first patient image of a first patient to add a first noise to the first patient image to form a noisy image input. The example system includes an image data denoiser to process the noisy image input using a first deep learning network to identify the first noise. The image data denoiser is to train the first deep learning network using the noisy image input. When the first deep learning network is trained to identify the first noise, the image data denoiser is to deploy the first deep learning network as a second deep learning network model to be applied to a second patient image of the first patient to identify a second noise in the second patient image.

Abstract: An imaging system is provided including a selectable pre-object filter module, a detector, and a processing unit. The selectable pre-object filter module is configured to absorb radiation from the X-ray source to control distribution of X-rays passed to an object to be imaged. The selectable pre-object filter module has plural pre-object filter configurations providing corresponding X-ray distributions, and is selectable between the plural configurations to provide a selected pre-object filter configuration for a scan of the object. The detector is configured to receive X-rays that have passed through the object.

Abstract: Systems and methods for improved image denoising using a deep learning network model are disclosed. An example system includes an input data processor to process a first patient image of a first patient to add a first noise to the first patient image to form a noisy image input. The example system includes an image data denoiser to process the noisy image input using a first deep learning network to identify the first noise. The image data denoiser is to train the first deep learning network using the noisy image input. When the first deep learning network is trained to identify the first noise, the image data denoiser is to deploy the first deep learning network as a second deep learning network model to be applied to a second patient image of the first patient to identify a second noise in the second patient image.

Abstract: Methods and systems are provided for direct monochromatic image generation for spectral computed tomography. In one embodiment, a method comprises acquiring projection data during a scan of a subject, reconstructing a low energy image and a high energy image from the projection data, and generating a monochromatic image from the low energy image and the high energy image. In this way, a monochromatic image may be generated directly from low and high energy images with a substantial reduction in image noise, especially when compared to a monochromatic image generated indirectly from material density images.

Abstract: Methods and systems are provided for automatic exposure control in computed tomography imaging systems. In one embodiment, a method comprises in response to an object-specific dose metric input by a user via a user interface operably coupled to a scanner, predicting an image quality of a diagnostic scan, calculating an output level of a source of the scanner for the image quality, and performing the diagnostic scan at the output level when the image quality is higher than a threshold. In this way, patient-specific image quality settings may be determined.

Abstract: Methods and systems are provided for direct monochromatic image generation for spectral computed tomography. In one embodiment, a method comprises acquiring projection data during a scan of a subject, reconstructing a low energy image and a high energy image from the projection data, and generating a monochromatic image from the low energy image and the high energy image. In this way, a monochromatic image may be generated directly from low and high energy images with a substantial reduction in image noise, especially when compared to a monochromatic image generated indirectly from material density images.

Abstract: An imaging system includes an identification module, an analysis module, and a determination module. The identification module is configured to identify a scanning mode of operation. The analysis module is configured to determine an attenuation for an object for a scan to be performed on the object. The determination module is configured to determine an image contrast for each of plural setting combinations, determine a corresponding tolerable noise for the image contrast for each of the setting combinations based on the scanning mode of operation, and determine a corresponding diagnostic dosage for each setting combination, the diagnostic dosages corresponding to the image contrast and tolerable noise for the corresponding setting combination. The determination module is also configured to select an operational setting for the scan to be performed using the dosages determined.

Abstract: An imaging system allows for modification of data acquisition parameters, where the parameters affect dose distribution. The system includes a library of exams, and a computer programmed to obtain a set of scanning parameters for image data acquisition and image reconstruction, obtain scan data from the library of exams that is based on a similarity metric for a patient to be scanned, simulate a new scan of the patient using the obtained scan data and using the obtained set of scanning parameters, and generate a new set of scanning parameters based on the simulation.

Abstract: Methods and systems are provided for automatic exposure control in computed tomography imaging systems. In one embodiment, a method comprises in response to an object-specific dose metric input by a user via a user interface operably coupled to a scanner, predicting an image quality of a diagnostic scan, calculating an output level of a source of the scanner for the image quality, and performing the diagnostic scan at the output level when the image quality is higher than a threshold. In this way, patient-specific image quality settings may be determined.

Abstract: Methods and systems are provided that obtain a scan prescription and receive physiologic feature or interest (FOI) measurements of an object of interest during a scan time. The methods and systems further compare at least one of the received physiologic FOI measurements with a predetermined threshold range, and determine a scan setting by evaluating an acquisition rule set based on the physiologic FOI measurement.

Abstract: An imaging system includes a computed tomography (CT) acquisition unit and a processing unit. The CT acquisition unit includes an X-ray source and a CT detector configured to collect CT imaging data of an object to be imaged. The processing unit includes at least one processor operably coupled to the CT acquisition unit. The processing unit is configured to control the CT acquisition unit to collect at least one sample projection during rotation of the CT acquisition unit about the object to be imaged, compare an intensity of the at least one sample projection to an intensity of a reference projection, select a time to perform an imaging scan based on the comparison of the intensity of the at least one sample projection to the intensity of the reference projection, and control the CT acquisition unit to perform the imaging scan.

Abstract: Methods and systems are provided that obtain a scan prescription and receive physiologic feature or interest (FOI) measurements of an object of interest during a scan time. The methods and systems further compare at least one of the received physiologic FOI measurements with a predetermined threshold range, and determine a scan setting by evaluating an acquisition rule set based on the physiologic FOI measurement.

Abstract: An imaging system includes a computed tomography (CT) acquisition unit and a processing unit. The CT acquisition unit includes an X-ray source and a CT detector configured to collect CT imaging data of an object to be imaged. The processing unit includes at least one processor operably coupled to the CT acquisition unit. The processing unit is configured to control the CT acquisition unit to collect at least one sample projection during rotation of the CT acquisition unit about the object to be imaged, compare an intensity of the at least one sample projection to an intensity of a reference projection, select a time to perform an imaging scan based on the comparison of the intensity of the at least one sample projection to the intensity of the reference projection, and control the CT acquisition unit to perform the imaging scan.

Abstract: An imaging system is provided including a selectable pre-object filter module, a detector, and a processing unit. The selectable pre-object filter module is configured to absorb radiation from the X-ray source to control distribution of X-rays passed to an object to be imaged. The selectable pre-object filter module has plural pre-object filter configurations providing corresponding X-ray distributions, and is selectable between the plural configurations to provide a selected pre-object filter configuration for a scan of the object. The detector is configured to receive X-rays that have passed through the object.

Abstract: An imaging system allows for modification of data acquisition parameters, where the parameters affect dose distribution. The system includes a library of exams, and a computer programmed to obtain a set of scanning parameters for image data acquisition and image reconstruction, obtain scan data from the library of exams that is based on a similarity metric for a patient to be scanned, simulate a new scan of the patient using the obtained scan data and using the obtained set of scanning parameters, and generate a new set of scanning parameters based on the simulation.

Abstract: An imaging system includes an identification module, a determination module, and a display module. The identification module is configured to identify one or more first scanning parameters and one or more first display parameters corresponding to a first image, and to identify one or more second scanning parameters corresponding to scanning information acquired during a second scan. The determination module is configured to determine, based on the one or more first scanning parameters and the one or more second scanning parameters, one or more second display parameters so that the scanning information acquired during the second scan may be used to provide a second image appearing more similar to the first image. The display module is configured to use the one or more second display parameters to provide the second image configured to be displayed to a viewer.

Abstract: Complete drive system, called motor-drive unit, for use in remote locations with limited radial space like downhole, narrow tunnels, pipelines and other applications with similar conditions. Given the spatial limitations the unit must have elongated shape. It includes a number of motors connected mechanically in series and a lower number of inverters, driving groups of the motors so that load is equally distributed along axis of the unit. Motors within each group can be electrically connected in series or in parallel. The motor-drive unit is supposed to be fed by DC voltage via a cable with length up to several km; therefore, it includes a buck converter for stabilization of voltage inside the unit and a power-line communication module to be controllable from the surface.

Abstract: An imaging system includes an identification module, an analysis module, and a determination module. The identification module is configured to identify a scanning mode of operation. The analysis module is configured to determine an attenuation for an object for a scan to be performed on the object. The determination module is configured to determine an image contrast for each of plural setting combinations, determine a corresponding tolerable noise for the image contrast for each of the setting combinations based on the scanning mode of operation, and determine a corresponding diagnostic dosage for each setting combination, the diagnostic dosages corresponding to the image contrast and tolerable noise for the corresponding setting combination. The determination module is also configured to select an operational setting for the scan to be performed using the dosages determined.

Abstract: An imaging system includes an identification module, a determination module, and a display module. The identification module is configured to identify one or more first scanning parameters and one or more first display parameters corresponding to a first image, and to identify one or more second scanning parameters corresponding to scanning information acquired during a second scan. The determination module is configured to determine, based on the one or more first scanning parameters and the one or more second scanning parameters, one or more second display parameters so that the scanning information acquired during the second scan may be used to provide a second image appearing more similar to the first image. The display module is configured to use the one or more second display parameters to provide the second image configured to be displayed to a viewer.

Abstract: Complete drive system, called motor-drive unit, for use in remote locations with limited radial space like downhole, narrow tunnels, pipelines and other applications with similar conditions. Given the spatial limitations the unit must have elongated shape. It includes a number of motors connected mechanically in series and a lower number of inverters, driving groups of the motors so that load is equally distributed along axis of the unit. Motors within each group can be electrically connected in series or in parallel. The motor-drive unit is supposed to be fed by DC voltage via a cable with length up to several km; therefore, it includes a buck converter for stabilization of voltage inside the unit and a power-line communication module to be controllable from the surface.