Abstract: Color Doppler imaging with line artifact reduction is provided in multi-beam scanning. Doppler estimates representing the same spatial location but calculated from spatially distinctive transmit beam groups are combined through weighted linear interpolation. Methods of calculating the linear interpolation weights are provided based on geometric relationships and optimization functions. Complete overlapping and superposition among receive beams in the interpolation region are not required. Partial interpolation among the receive beams, where only the estimates of the outer receive scan lines may overlap and be interpolated while estimates for scan lines closer to the transmit scan line are not interpolated, allowing for more rapid frame rate.

Abstract: For positron emission tomography (PET) detector gain stabilization despite temperature variation, an open loop gain control based on temperature establishes a baseline gain despite possible temperature variation. The baseline gain is then adjusted with a more sensitive closed-loop (e.g., peak tracking) approach for dealing with temperature. By combining both types of gain control to deal with temperature, the advantages of both are provided while avoiding disadvantages of either approach by itself.

Abstract: CT and PET are registered, providing a spatial alignment to be used in attenuation correction for PET reconstruction. A model for machine learning is defined to generate a deformation field. The model is trained with loss based, in part, on the attenuation corrected PET data rather than or in addition to loss based on the uncorrected PET or the generated deformation field. Due to the nature of the mapping from CT to attenuation, a separate, pre-trained network is used to form the attenuation corrected PET data in training the model.

Abstract: An image reconstruction system generates a motion estimation using images that have been reconstructed using AI processing. The system receives listmode data collected by an imaging system and produces two or more histo-images based on the listmode data. The system provides the two or more histo-images to an AI system and receives two or more AI reconstructed images back from the AI system based on the two or more histo-images. The system generates a motion estimation based on the two or more AI reconstructed images.

Abstract: For clutter reduction in ultrasound elasticity imaging, the contribution of clutter to different frequency components (e.g., the transmit fundamental and the propagation generated second harmonic) is different. As a result, a difference in displacements determined at the different frequency bands is used to reduce clutter contribution to displacements used for elasticity imaging.

Abstract: For shear wave imaging with ultrasound, the apparent pulse repetition frequency is increased by combining displacements from different lateral locations. Different combinations based on different shear wave velocities and corresponding time shifts and/or attenuations and corresponding scalings are tested to find a smooth displacement profile for the combination. Once the smooth displacement profile is found, the corresponding shear wave velocity is estimated or determined.

Abstract: Systems and methods for reconstructing medical images are disclosed. Measurement data, such as sinogram data, is received from an image scanning system. A plurality of masks are applied to corresponding portions of the measurement data to generate a plurality of masked measurement data portions. In some examples, the measurement data is encoded before the plurality of masks are applied. A neural network including a plurality of fully connected layers is applied to the plurality of masked measurement data portions to generate a plurality of image patches. The plurality of image patches are then combined to generate an initial image. In some examples, refinement and scaling operations are applied to the initial image and corresponding attenuation maps to generate a final image. In some examples, the final image is stored in a database. In some examples, the final image is displayed for diagnosis.

Abstract: Systems and methods include determination of a first relationship between change in photopeak energy and event time skew based on a first detection event signal acquired from a detector at a first temperature and a subsequent detection event signal acquired from the detector at a next temperature, acquisition of a subsequent detection event signal from the detector, determination of an event time associated with this detection event signal, determination of an event time skew based on an energy of this detection event signal and the first relationship, determination of a corrected event time based on the event time and the event time skew, and identification of a coincidence based on the corrected event time.

Abstract: An ultrasound imager provides for LAA closure guidance. Using ultrasound imaging allows for modeling over time (e.g., throughout a heart cycle). An anatomy model of the LAA over time is used to create a biomechanical model personalized to the patient. The personalized models and a model of one or more closure devices are used to select a closure device for the patient appropriate for the entire heart cycle and to guide placement of the selected closure device during an implantation.

Abstract: Methods and systems for automated motion correction of nuclear images are disclosed. A method includes receiving a first set of imaging data including a plurality if annihilation events detected during an imaging period and generating a plurality of four-dimensional volumetric images from the imaging data for the imaging period. Each four-dimensional volumetric image includes a target tissue. At least one motion correction is determined for each of the plurality of four-dimensional volumetric images. The at least one motion correction is determined using target tracking data generated for the target tissue over a time period associated with the four-dimensional volumetric image. Corrected image data is generated from the first set of imaging data and the at least one motion correction and at least one static reconstruction image including the target tissue during the imaging period is generated from the corrected image data.

Abstract: A multi-modality imaging system allows for selectable photoelectric effect and/or Compton effect detection. The camera or detector is a module with a catcher detector. Depending on the use or design, a scatter detector and/or a coded physical aperture are positioned in front of the catcher detector relative to the patient space. For low energies, emissions passing through the scatter detector continue through the coded aperture to be detected by the catcher detector using the photoelectric effect. Alternatively, the scatter detector is not provided. For higher energies, some emissions scatter at the scatter detector, and resulting emissions from the scattering pass by or through the coded aperture to be detected at the catcher detector for detection using the Compton effect. Alternatively, the coded aperture is not provided. The same module may be used to detect using both the photoelectric and Compton effects where both the scatter detector and coded aperture are provided with the catcher detector.

Abstract: A computer-implemented method for classifying a reconstruction includes receiving an uncategorized reconstruction and applying a trained classification function configured to classify the uncategorized reconstruction into one of a plurality of categories. The plurality of categories are based on a labeled data-set including a plurality of labeled reconstructions. The trained classification function uses reconstruction-invariant features for classification. The method further includes storing a label indicating a selected one of the plurality of categories for the uncategorized reconstruction.

Abstract: Systems and methods include generation of a source optical signal outside of a radiofrequency-shielded cabin based on a reference electrical clock signal, transmission of the source optical signal into the radiofrequency-shielded cabin via optical media, generation of an electrical clock signal based on the source optical signal within the radiofrequency-shielded cabin, jitter cleaning of the electrical clock signal within the radiofrequency-shielded cabin to generate a jitter-cleaned electrical clock signal based on an average frequency of the electrical clock signal and a jitter of a magnetically-compatible jitter cleaner oscillator, and transmission of the jitter-cleaned electrical clock signal to a plurality of positron emission tomography scanner detectors disposed within the radiofrequency-shielded cabin.

Abstract: Disclosed herein is a method comprising discharging a slurry from a vessel to a conduit; where the slurry comprises a liquid and a composition comprising at least two materials having different densities-a first material having a higher density and a second material having a lower density than that of the first material; creating a surge in velocity in slurry flow as it is transported through the conduit; separating the first material from the second material; where the first material is disposed on an inner surface of the conduit and where the second material flows through the conduit to a container; and removing the first material from the inner surface of the conduit.

Abstract: An apparatus for manufacturing a radioisotope comprises a container. The container comprising a portable neutron source and a solution that comprises a particular isotope. The portable neutron source is surrounded by the solution. The solution comprises at least one of copper phthalocyanine or copper salicylaldehyde o-phenylene diamine. The portable neutron source emits neutrons that react with the particular isotope resulting in the transformation of the particular isotope into the radioisotope.

Abstract: Systems and methods for detecting and classifying clinical features in medical images are disclosed. Natural language processes are applied to speech received from a dictation system to determine clinical and anatomical information for a medical image being viewed. In some examples, gaze location information identifying an eye position is received, as well as an image position for the medical image being viewed. Features of the medical image are detected and classified based on machine learning models. Anatomical associations are generated based on one or more of the classifications, the anatomical information, the gaze information, and the image position. The machine learning models can be trained based on the anatomical associations. In some examples, reports are generated based on the anatomical associations.

Abstract: A medical imaging and/or radiotherapy apparatus incorporates a display for projecting a visible image to a patient lying on a patient table. A projector that projects the visible image moves in tandem with the patient table, so that it appears relatively motionless to the patient. In exemplary embodiments, the projector projects the visible image within a patient tunnel of the medical apparatus, including in some embodiments, an extended field of view medical imaging apparatus. In other exemplary embodiments, the projector projects the visible image on a screen above the patient table of a tunnel-less medical apparatus. The projector remains outside the imaging line of response of detectors within the imaging field or outside of the radiotherapy beam zone, to avoid potential degradation of the captured diagnostic image or degradation of the radiotherapy beam.

Abstract: By identifying locations of contrast agent response, an intensity-based metric of contrast agent signal is used to control a duration of microbubble destruction with a medical ultrasound scanner. Feedback from motion of the transducer may be used to indicate when a user perceives enough destruction. A combination of both an intensity-based metric and transducer motion may be used to control the duration of bursting.