Abstract: A non-spectral computed tomography scanner includes a radiation source configured to emit x-ray radiation, a detector array configured to detect x-ray radiation and generate non-spectral data, and a memory configured to store a spectral image module that includes computer executable instructions including a neural network trained to produce spectral volumetric image data. The neural network is trained with training spectral volumetric image data and training non-spectral data. The non-spectral computed tomography scanner further includes a processor configured to process the non-spectral data with the trained neural network to produce spectral volumetric image data.

Abstract: In the present invention, a system and method for selection of an optimal catheter for use in a medical procedure relative to the anatomy of a patient includes the steps of providing a system including a scanning device capable of obtaining image data on a ROI within the anatomy of a patient and reconstructing a 3D image of the ROI from the image data, a display capable of illustrating the 3D image and a 3D catheter model, and a CPU operably connected to the scanning device and the display and operable to analyze the 3D image in comparison with the 3D catheter model, obtaining image data of the ROI of the patient, reconstructing a 3D image of the ROI from the image data and comparing the 3D catheter model with the 3D image of the ROI to determine the catheter with the optimal configuration for use in the procedure.

Abstract: A non-spectral computed tomography scanner includes a radiation source configured to emit x-ray radiation, a detector array configured to detect x-ray radiation and generate non-spectral data, and a memory configured to store a spectral image module that includes computer executable instructions including a neural network trained to produce spectral volumetric image data. The neural network is trained with training spectral volumetric image data and training non-spectral data. The non-spectral computed tomography scanner further includes a processor configured to process the non-spectral data with the trained neural network to produce spectral volumetric image data.

Abstract: A non-spectral computed tomography scanner (102) includes a radiation source (112) configured to emit x-ray radiation, a detector array (114) configured to detect x-ray radiation and generate non-spectral data, and a memory (134) configured to store a spectral image module (130) that includes computer executable instructions including a neural network trained to produce spectral volumetric image data. The neural network is trained with training spectral volumetric image data and training non-spectral data. The non-spectral computed tomography scanner further includes a processor (126) configured to process the non-spectral data with the trained neural network to produce spectral volumetric image data.

Abstract: A non-spectral computed tomography scanner (102) includes a radiation source (112) configured to emit x-ray radiation, a detector array (114) configured to detect x-ray radiation and generate non-spectral data, and a memory (134) configured to store a spectral image module (130) that includes computer executable instructions including a neural network trained to produce spectral volumetric image data. The neural network is trained with training spectral volumetric image data and training non-spectral data. The non-spectral computed tomography scanner further includes a processor (126) configured to process the non-spectral data with the trained neural network to produce spectral volumetric image data.

Abstract: A method for X-ray imaging includes determining one or more pre-shot parameters corresponding to a region of interest in a subject based on an optical image of the region of interest obtained from an optical sensor. The method further includes controlling an X-ray device to generate a pre-shot X-ray image using a first X-ray dosage, based on the one or more-pre-shot parameters. The method also includes determining at least one main-shot parameter based on the pre-shot X-ray image. The method includes controlling the X-ray device to generate a main-shot X-ray image using a second X-ray dosage greater than the first X-ray dosage, based on the at least one main-shot parameter.

Abstract: Improvement of the dynamic range of a radiation detector is described. In one embodiment, one or more non-destructive readout operations are performed during a radiation exposure event to acquire data used to improve the dynamic range of the detector. In one implementation, one or more non-destructive readouts of pixels are performed prior to saturation of the pixels during an X-ray exposure so as to obtain non-saturated measurements at the pixels. In an additional implementation, non-destructive readouts of pixels are performed between exposure events so as to obtain an estimate of electronic noise during a multi-exposure examination.

Abstract: The present approach relates to the use of a spatially registered detector docking compartment to determine source and detector alignment in a patient imaging context. In certain implementations, sensors and/or cameras provide visual data that may be analyzed to determine a spatial relation between an X-ray source and landmarks provided on a patient support surface, where the landmarks have a known spatial relationship to a detector positioned beneath the patient support surface.

Abstract: A mobile radiography system is disclosed, which includes a radiation source for radiating a plurality of beams; a detector for detecting the plurality of beams from the radiation source; a controller for determining an angular difference between the radiation source and the detector; and a positioning device mounted with the radiation source for recognizing a position of the detector relative to the radiation source based on the angular difference between the radiation source and the detector to align the radiation source to the detector. A method of aligning a mobile radiography system including a radiation source and a detector is also disclosed.

Abstract: In the present invention, a system and method for selection of an optimal catheter for use in a medical procedure relative to the anatomy of a patient includes the steps of providing a system including a scanning device capable of obtaining image data on a ROI within the anatomy of a patient and reconstructing a 3D image of the ROI from the image data, a display capable of illustrating the 3D image and a 3D catheter model, and a CPU operably connected to the scanning device and the display and operable to analyze the 3D image in comparison with the 3D catheter model, obtaining image data of the ROI of the patient, reconstructing a 3D image of the ROI from the image data and comparing the 3D catheter model with the 3D image of the ROI to determine the catheter with the optimal configuration for use in the procedure.

Abstract: A silicon photomultiplier (SiPM) based detection system includes a plurality of scintillators, SiPMs, a front end circuit, adjustment circuits, and an energy and position processing unit. The SiPMs have a non-linear response to energy deposition corresponding to radiation detection. The adjustment circuit is configured to receive an analog signal from SiPMs, and to provide an adjusted analog signal, which is configured to simulate a signal corresponding to a linear response. The energy and position processing unit utilizes the adjusted signal to provide energy and position information of detected events in the detector block.

Abstract: A method for X-ray imaging includes determining one or more pre-shot parameters corresponding to a region of interest in a subject based on an optical image of the region of interest obtained from an optical sensor. The method further includes controlling an X-ray device to generate a pre-shot X-ray image using a first X-ray dosage, based on the one or more-pre-shot parameters. The method also includes determining at least one main-shot parameter based on the pre-shot X-ray image. The method includes controlling the X-ray device to generate a main-shot X-ray image using a second X-ray dosage greater than the first X-ray dosage, based on the at least one main-shot parameter.

Abstract: In the present invention, a system and method for selection of an optimal catheter for use in a medical procedure relative to the anatomy of a patient includes the steps of providing a system including a scanning device capable of obtaining image data on a ROI within the anatomy of a patient and reconstructing a 3D image of the ROI from the image data, a display capable of illustrating the 3D image and a 3D catheter model, and a CPU operably connected to the scanning device and the display and operable to analyze the 3D image in comparison with the 3D catheter model, obtaining image data of the ROI of the patient, reconstructing a 3D image of the ROI from the image data and comparing the 3D catheter model with the 3D image of the ROI to determine the catheter with the optimal configuration for use in the procedure.

Abstract: Embodiments for aggregating multiple data sources on a single display device are provided. In one example, a computing device comprises at least one input configured to receive data from one or more data sources, a user interface to receive user input, and instructions to identify an event of a procedure based on one or more of data received from the one or more data sources and user input received via the user interface, and arrange one or more display information elements on a display device based on the identified event and a workflow protocol.

Abstract: A method for reducing grid line artifacts in an X-ray image is disclosed, which includes acquiring an X-ray image by scanning an object, wherein the X-ray image comprises grid line artifacts; decomposing the X-ray image into a high frequency image and a low frequency image, wherein the high frequency image comprises the grid line artifacts; filtering the high frequency image to reduce the grid line artifacts in the high frequency image so as to obtain a filtered high frequency image; and combining the filtered high frequency image with the low frequency image to reconstruct an output image. A system adopting the above method is also disclosed.

Abstract: The present approach relates to the use of a spatially registered detector docking compartment to determine source and detector alignment in a patient imaging context. In certain implementations, sensors and/or cameras provide visual data that may be analyzed to determine a spatial relation between an X-ray source and landmarks provided on a patient support surface, where the landmarks have a known spatial relationship to a detector positioned beneath the patient support surface.

Abstract: Some embodiments are associated with an X-ray source configured to generate X-rays directed toward an object, wherein the X-ray source is to: (i) generate a first energy X-ray pulse, (ii) switch to generate a second energy X-ray pulse, and (iii) switch back to generate another first energy X-ray pulse. A detector may be associated with multiple image pixels, and the detector includes, for each pixel: an X-ray sensitive element to receive X-rays; a first storage element and associated switch to capture information associated with the first energy X-ray pulses; and a second storage element and associated switch to capture information associated with the second energy X-ray pulse. A controller may synchronize the X-ray source and detector.

Abstract: The present approach relates to the use of machine-learning in convolution kernel design for scatter correction. In one aspect, a neural network is trained to replace or improve the convolution kernel used for scatter correction. The training data set may be generated probabilistically so that actual measurements are not employed.

Abstract: A silicon photomultiplier (SiPM) based detection system includes a plurality of scintillators, SiPMs, a front end circuit, adjustment circuits, and an energy and position processing unit. The SiPMs have a non-linear response to energy deposition corresponding to radiation detection. The adjustment circuit is configured to receive an analog signal from SiPMs, and to provide an adjusted analog signal, which is configured to simulate a signal corresponding to a linear response. The energy and position processing unit utilizes the adjusted signal to provide energy and position information of detected events in the detector block.

Abstract: The present discussion relates to the use of deep learning techniques to accelerate iterative reconstruction of images, such as CT, PET, and MR images. The present approach utilizes deep learning techniques so as to provide a better initialization to one or more steps of the numerical iterative reconstruction algorithm by learning a trajectory of convergence from estimates at different convergence status so that it can reach the maximum or minimum of a cost function faster.