Abstract: A patient support system includes a support beam that may translocate along an axial axis of a medical imaging system. At least a portion of the support beam may be disposed within a central bore of the medical imaging system. The patient support system also includes a patient support removably coupled to the support beam and including a backing that may support a patient during an imaging procedure and a restraint extending a longitudinal length of the backing. The restraint includes a first end coupled to the backing and a second end that may be removably coupled to the support beam, and the restraint may secure the patient support to the support beam and to restrain the patient within the patient support.

Abstract: Systems, apparatus, methods, and computer-readable storage media to estimate scatter in an image are disclosed. An example apparatus includes a network generator to generate and train an inception neural network using first and second input to deploy an inception neural network model to process image data when first and second outputs of the inception neural network converge, the first input based on a raw sinogram of a first image and the second input based on an attenuation-corrected sinogram of the first image, the inception neural network including a first filter of a first size and a second filter of a second size in a layer to process the first input and/or the second input to generate an estimate of scatter in the first image. The example apparatus also includes an image processor to apply the estimate of scatter to a second image to generate a processed image.

Abstract: A computed tomography (CT) imaging system and method, wherein the system includes an x-ray source that is operable to emit a beam of x-rays from a focal spot and move a spot position of the focal spot. The system also includes a detector assembly that is configured to detect the x-rays attenuated by the object. At least one processing unit is configured to execute programmed instructions stored in memory. The at least one processing unit is configured to direct the x-ray source to emit different beams of the x-rays at different energy levels and to receive data from the detector assembly that are representative of detection of the x-rays emitted at the different energy levels. The at least one processing unit is also configured to direct the x-ray source to move the focal spot such that the focal spot is at different spot positions while the different beams are emitted.

Abstract: A method is provided that includes acquiring initial PET imaging data. The method also includes acquiring CT imaging data. Further, the method includes training a deep learning model for PET image reconstruction using the initial PET imaging data and the CT imaging data.

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: The present approach relates to avoiding azimuthal blur in a computed tomography context, such as in dual energy imaging with fast kV switching. In accordance with certain aspects, the focal spot position is held stationary in the patient coordinate system within each respective view and the detector signals within the view are summed. In one embodiment, this results in the low and high energy views within the signal being collected from the same position within the patient coordinate system.

Abstract: Methods and systems are provided for improving image quality with three-dimensional (3D) scout scans for computed tomography (CT) imaging. In one embodiment, a method comprises reconstructing an image from projection data acquired during a diagnostic scan of a patient with corrections based on scout projection data acquired during a 3D scout scan of the patient. In this way, the image quality of a diagnostic image can be improved by using 3D scout data to correct projection data or image data.

Abstract: An X-ray tube is provided. The X-ray tube includes an electron beam source including a cathode configured to emit an electron beam. The X-ray tube also includes an anode assembly including an anode configured to receive the electron beam and to emit X-rays when impacted by the electron beam. The X-ray tube further includes a gridding electrode disposed about a path of the electron beam between the electron beam source and the anode assembly. The gridding electrode, when powered at a specific level, is configured to grid the electron beam in synchronization with planned transitions during a dynamic focal spot mode.

Abstract: Computed tomography (CT) imaging system has at least one processing unit configured to receive operator inputs that include a modified system feature and a clinical task having a task object and also receive operator inputs for determining a task-based image quality (IQ) metric. The task-based IQ metric represents a desired overall image quality of image data for performing the clinical task. The image data acquired using a reference system feature. The at least one processing unit is also configured to determine an exposure-control parameter based on the task object, the modified system feature, and the task-based IQ metric. The at least one processing unit is also configured to direct the x-ray source to generate the x-ray beam during the CT scan, wherein at least one of the tube current or the tube potential during the CT scan is a function of the exposure-control parameter.

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. The processing unit is configured to determine a voltage delivery configuration for the X-ray source based on at least one of a patient size, a clinical task, or scan parameters. The voltage delivery configuration includes at least one of a transition configuration or a voltage threshold. The transition configuration corresponds to a transition between a high voltage and a low voltage. Portions of acquired data acquired above the voltage threshold are grouped as high energy data and portions acquired below the voltage threshold are grouped as low energy data. The processing unit is also configured to implement the voltage delivery configuration on the CT acquisition unit, and to control the CT acquisition unit to perform an imaging scan using the determined voltage delivery configuration.

Abstract: Methods and systems are provided for automated tube current modulation (ATCM). In one embodiment, a method for an imaging system comprises: calculating a desired dose level based on a clinical task, a size of a subject to be scanned, and an image quality level; generating a scan protocol based on a relation between the image quality level and at least one characteristic of the imaging system; and performing a scan of the subject at the desired dose level and according to the generated scan protocol. In this way, ATCM can be optimized based on elements that impact image quality such as the clinical task, the physical characteristics of the imaging system, the individual patient, and the reader's preference.

Abstract: A patient support system includes a support beam that may translocate along an axial axis of a medical imaging system. At least a portion of the support beam may be disposed within a central bore of the medical imaging system. The patient support system also includes a patient support removably coupled to the support beam and including a backing that may support a patient during an imaging procedure and a restraint extending a longitudinal length of the backing. The restraint includes a first end coupled to the backing and a second end that may be removably coupled to the support beam, and the restraint may secure the patient support to the support beam and to restrain the patient within the patient support.

Abstract: Various methods and systems for weighting material density images based on the material imaged are disclosed. In one embodiment, a method for dual energy imaging of a material comprises generating an odd material density image, generating an even material density image, applying a first weight to the odd material density image and a second weight to the even material density image, and generating a material density image based on a combination of the weighted odd material density image and the weighted even material density image. In this way, the image quality may be improved without increasing a radiation dosage.

Abstract: An X-ray tube is provided. The X-ray tube includes an electron beam source including a cathode configured to emit an electron beam. The X-ray tube also includes an anode assembly including an anode configured to receive the electron beam and to emit X-rays when impacted by the electron beam. The X-ray tube further includes a gridding electrode disposed about a path of the electron beam between the electron beam source and the anode assembly. The gridding electrode, when powered at a specific level, is configured to grid the electron beam in synchronization with planned transitions during a dynamic focal spot mode.

Abstract: Methods and systems are provided for automated tube current modulation (ATCM). In one embodiment, a method for an imaging system comprises: calculating a desired dose level based on a clinical task, a size of a subject to be scanned, and an image quality level; generating a scan protocol based on a relation between the image quality level and at least one characteristic of the imaging system; and performing a scan of the subject at the desired dose level and according to the generated scan protocol. In this way, ATCM can be optimized based on elements that impact image quality such as the clinical task, the physical characteristics of the imaging system, the individual patient, and the reader's preference.

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: 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. The processing unit is configured to determine a voltage delivery configuration for the X-ray source based on at least one of a patient size, a clinical task, or scan parameters. The voltage delivery configuration includes at least one of a transition configuration or a voltage threshold. The transition configuration corresponds to a transition between a high and low voltage. Portions of acquired data acquired above the voltage threshold are grouped as high energy data and portions acquired below are grouped as low energy data. The processing unit is also configured to implement the voltage delivery configuration on the CT acquisition unit, and to control the CT acquisition unit to perform an imaging scan using the determined voltage delivery configuration.

Abstract: Various methods and systems for dual energy spectral computed tomography imaging are provided. In one embodiment, a method for dual energy imaging comprises generating an image from a higher energy dataset and an updated lower energy dataset, wherein the updated lower energy dataset comprises a combination of a lower energy dataset and a pseudo projection dataset generated from the higher energy dataset. In this way, a weak low energy signal may be recovered, thereby enabling image reconstruction in spite of photon starvation and sparse views.

Abstract: Various methods and systems are provided for estimating and compensating for table deflection in reconstructed images. In one embodiment, a method for computed tomography (CT) imaging comprises reconstructing images from data acquired during a helical CT scan where table deflection parameters are estimated and the reconstruction is adjusted based on the table deflection parameters. In this way, images may be reconstructed without artifacts caused by table deflection.

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 X-ray source and CT detector are configured to be rotated about the object to be imaged and to collect a series of views of the object as the X-ray source and CT detector rotate about the object to be imaged. The processing unit is operably coupled to the CT acquisition unit and configured to control the CT acquisition unit to vary a view duration for the views of the series. The view duration for a particular view defines an imaging information acquisition period for the particular view, wherein the series of views includes a first group of views having a first view duration and a second group of views having a second view duration that is different than the first view duration.