Abstract: Systems and methods for performing motion artifact correction in medical images. One method includes receiving, with an electronic processor, a medical image associated with a patient, the medical image including at least one motion artifact. The method also includes applying, with the electronic processor, a model developed using machine learning to the medical image for correcting motion artifacts, the model including at least one of a spatial transformer network and an attention mechanism network. The method also includes generating, with the electronic processor, a new version of the medical image, where the new version of the medical image at least partially corrects the at least one motion artifact.

Abstract: Systems and methods are provided for synthesizing information from multiple image series of different kernels into a single image series, and also for converting a single baseline image series of a kernel reconstructed by a CT scanner to image series of various other kernels, using deep-learning based methods. For multi-kernel synthesis, a single set of images with desired high spatial resolution and low image noise can be synthesized from multiple image series of different kernels. The synthesized kernel is sufficient for a wide variety of clinical tasks, even in circumstances that would otherwise require many separate image sets. Kernel conversion may be configured to generate images with arbitrary reconstruction kernels from a single baseline kernel. This would reduce the burden on the CT scanner and the archival system, and greatly simplify the clinical workflow.

Abstract: Systems and methods are provided for synthesizing information from multiple image series of different kernels into a single image series, and also for converting a single baseline image series of a kernel reconstructed by a CT scanner to image series of various other kernels, using deep-learning based methods. For multi-kernel synthesis, a single set of images with desired high spatial resolution and low image noise can be synthesized from multiple image series of different kernels. The synthesized kernel is sufficient for a wide variety of clinical tasks, even in circumstances that would otherwise require many separate image sets. Kernel conversion may be configured to generate images with arbitrary reconstruction kernels from a single baseline kernel. This would reduce the burden on the CT scanner and the archival system, and greatly simplify the clinical workflow.

Abstract: In accordance with some embodiments, systems, methods, and media for generating low-energy virtual monoenergetic images from multi-energy computed tomography data are provided. In some embodiments, a system comprises: at least one hardware processor configured to: receive input indicative of a particular X-ray energy level at which to generate a virtual monoenergetic image (VMI) of a subject that includes a plurality of target materials with improved contrast; receive computed tomography (CT) data of a subject; generate a VMI version of the CT data at the particular X-ray energy; and cause the VMI version of the CT data to be presented.

Abstract: A metal component is disclosed. The metal component has a first dimension greater than 5 mm, and a second dimension greater than 5 mm. The metal component may include where the alloy includes titanium, aluminum, vanadium, carbon, nitrogen, and oxygen. The alloy may include zirconium, titanium, copper, nickel, and beryllium. The metal component is not die-cast, melt-spun, or forged. An ejector and a method for jetting the metal component is also disclosed.

Abstract: Systems and methods are provided for synthesizing information from multiple image series of different kernels into a single image series using deep-learning based methods trained using a task-based loss function that includes a sharp loss term and a smooth loss term that parameterize training. For multi-kernel synthesis, a single set of images with desired high spatial resolution and low image noise can be synthesized from multiple image series of different kernels. The synthesized kernel is sufficient for a wide variety of clinical tasks, even in circumstances that would otherwise require many separate image sets. Kernel conversion may be configured to generate images with arbitrary reconstruction kernels from a single baseline kernel. This would reduce the burden on the CT scanner and the archival system, and greatly simplify the clinical workflow.

Abstract: A metal component is disclosed. The metal component has a first dimension greater than 5 mm, and a second dimension greater than 5 mm. The metal component may include where the alloy includes titanium, aluminum, vanadium, carbon, nitrogen, and oxygen. The alloy may include zirconium, titanium, copper, nickel, and beryllium. The metal component is not die-cast, melt-spun, or forged. An ejector and a method for jetting the metal component is also disclosed.

Abstract: A metal component is disclosed. The metal component has a first dimension greater than 5 mm, and a second dimension greater than 5 mm. The metal component may include where the alloy includes titanium, aluminum, vanadium, carbon, nitrogen, and oxygen. The alloy may include zirconium, titanium, copper, nickel, and beryllium. The metal component is not die-cast, melt-spun, or forged. An ejector and a method for jetting the metal component is also disclosed.

Abstract: A marine specimen capture system for use in capturing a marine specimen alive and intact from an underwater environment includes a specimen capture assembly comprising at least one specimen capture member. The at least one specimen capture member having a capture member inlet and a capture member outlet. A thruster assembly comprising at least one thruster unit is interconnected to the specimen capture assembly. More in particular, the thruster assembly is operative to generate an induced flow along an induced flow path into at least a portion of the at least one specimen capture member through the capture member inlet, wherein the induced flow is sufficient to pull a marine specimen into and through at least the capture member inlet of the at least one specimen capture member.

Abstract: Systems and methods are provided for synthesizing information from multiple image series of different kernels into a single image series, and also for converting a single baseline image series of a kernel reconstructed by a CT scanner to image series of various other kernels, using deep-learning based methods. For multi-kernel synthesis, a single set of images with desired high spatial resolution and low image noise can be synthesized from multiple image series of different kernels. The synthesized kernel is sufficient for a wide variety of clinical tasks, even in circumstances that would otherwise require many separate image sets. Kernel conversion may be configured to generate images with arbitrary reconstruction kernels from a single baseline kernel. This would reduce the burden on the CT scanner and the archival system, and greatly simplify the clinical workflow.

Abstract: A method for creating an energy series of images acquired using a multi-energy computed tomography (CT) imaging system having a plurality of energy bins includes acquiring, with the multi-energy CT imaging system, a series of energy data sets, where each energy data set is associated with at least one of the energy bins. The method includes producing a conglomerate image using at least a plurality of the energy data sets and, using the conglomerate image, reconstructing an energy series of images, each image in the energy series of images corresponding to at least one of the energy data sets.

Abstract: A method for creating an energy series of images acquired using a multi-energy computed tomography (CT) imaging system having a plurality of energy bins includes acquiring, with the multi-energy CT imaging system, a series of energy data sets, where each energy data set is associated with at least one of the energy bins. The method includes producing a conglomerate image using at least a plurality of the energy data sets and, using the conglomerate image, reconstructing an energy series of images, each image in the energy series of images corresponding to at least one of the energy data sets.

Abstract: An insecticide impregnated strip configured for convenient and reliable attachment to conventional animal ear tags. The insecticide strip comprises an elongated integrally molded member having a key-hole shaped aperture formed in an upper portion thereof, enabling the elongated strip to be pendularly suspended from the ear tag. Various methods are disclosed for attaching the strip to different types of known ear tags.

Abstract: A method for creating an energy series of images acquired using a multi-energy computed tomography (CT) imaging system having a plurality of energy bins includes acquiring, with the multi-energy CT imaging system, a series of energy data sets, where each energy data set is associated with at least one of the energy bins. The method includes producing a conglomerate image using at least a plurality of the energy data sets and, using the conglomerate image, reconstructing an energy series of images, each image in the energy series of images corresponding to at least one of the energy data sets.

Abstract: A method for creating an energy series of images acquired using a multi-energy computed tomography (CT) imaging system having a plurality of energy bins includes acquiring, with the multi-energy CT imaging system, a series of energy data sets, where each energy data set is associated with at least one of the energy bins. The method includes producing a conglomerate image using at least a plurality of the energy data sets and, using the conglomerate image, reconstructing an energy series of images, each image in the energy series of images corresponding to at least one of the energy data sets.

Abstract: A system and method for acquiring an image of a region of interest (ROI) of subject using a computed tomography (CT) system includes a) performing a scout scan of the subject using the CT system to yield scout data related to the ROI and b) determining an initial contrast volume form at least the scout data. The method also includes c) prescribing a scanning protocol to be implemented using the computed tomography system to image the ROI and d) determining a size of the subject about the ROI. The method further includes e) determining a computed tomography dose related to volume (CTDIvol) based on at least the size determined at step d) and f) adjusting the scanning protocol prescribed in step b) to match at least one of a desired radiation dose and a relative intravenous (IV) contrast dose to a reference CTDIvol. The method includes g) acquiring imaging data from the ROI using the CT system by using the adjusted scanning protocol.

Abstract: An insecticide impregnated strip configured for convenient and reliable attachment to conventional animal ear tags. The insecticide strip comprises an elongated integrally molded member having a key-hole shaped aperture formed in an upper portion thereof, enabling the elongated strip to be pendularly suspended from the ear tag. Various methods are disclosed for attaching the strip to different types of known ear tags.

Abstract: An insecticide-carrying device is provided and may include a first insecticide-carrying strip and a second insecticide carrying strip. The second insecticide carrying strip may be rotatably coupled to the first insecticide-carrying strip to permit relative movement between the first insecticide-carrying strip and the second insecticide-carrying strip.

Abstract: A system and method is provided for estimating the local noise of CT images and denoising the images using a modified non-local means (NLM) algorithm that is adaptive to local variations of noise levels. A strategy for efficiently estimating the local noise of CT images is also described.

Abstract: An insecticide impregnated strip configured for convenient and reliable attachment to conventional animal ear tags. The insecticide strip comprises an elongated integrally molded member having a key-hole shaped aperture formed in an upper portion thereof, enabling the elongated strip to be pendularly suspended from the ear tag. Various methods are disclosed for attaching the strip to different types of known ear tags.