Abstract: An infant treatment device includes a light source and a blanket. When the treatment device is configured to warm an infant, a laser diode is used to provide warming light. The warming light passes along an optic cable having a plurality of optic fibers each having a fiber ending. The fiber endings are spaced along is diffuser. The diffuser is designed to spread the warming light to create multiple heating zones. A control circuit is used to control the operation of the laser diode. The treatment device is designed such that the light source and blanket can be separated and connected when desired such that the light source can be used with more than one blanket. In another embodiment, the light source can include a diode design for use in phototherapy treatment.

Abstract: A neonatal care system includes a base, a bassinet platform supported on the base, and a neonatal sleep device. The neonatal sleep device includes a frame structure connected to and extending upward from the bassinet platform, wherein the sling is suspended above the bassinet platform and configured to support a neonate. The neonatal care system further includes a heater configured to heat an environment surrounding the neonate supported in the sling.

Abstract: A gas analyzer for measuring a respiratory gas component includes an emitter that emits two different wavelengths of infrared (IR) radiation in to a measurement chamber containing a respiratory gas, wherein the two different wavelengths include a first IR wavelength and a second IR wavelength. The gas analyzer further includes a first IR detector, a second IR detector, and a beam splitter. The beam splitter is configured to receive the two different wavelengths of radiation emitted by the emitter and to split the two wavelengths of radiation so as to reflect the first IR wavelength to the first IR detector and reflect the second IR wavelength to the second IR detector.

Abstract: A system and method for controlling a virtual light source includes generating a volume-rendered image including a rendered object, controlling a shading and an illumination of the volume-rendered image based on a position of the virtual light source with respect to the rendered object, and receiving a control input from a user interface. The system and method includes automatically moving the virtual light source to an updated position along a height contour established with respect to a surface of a rendered object in the volume-rendered image in response to the control input. The system and method includes calculating an updated shading and an updated illumination based on the updated virtual light source position.

Abstract: An automatic field-of-view (FOV) prescription system is provided. The system includes an FOV prescription computing device that includes at least one processor electrically coupled to at least one memory device. The at least one processor is programmed to receive localizer images that depict an anatomy, and generate masks associated with the localizer images, wherein the masks represent part of the localizer images that depict the anatomy. The at least one processor is also programmed to calculate bounding boxes surrounding the anatomy based on the masks, generate an FOV based on the bounding boxes, and output the FOV.

Abstract: Systems and techniques for determining degree of motion using machine learning to improve medical image quality are presented. In one example, a system generates, based on a convolutional neural network, motion probability data indicative of a probability distribution of a degree of motion for medical imaging data generated by a medical imaging device. The system also determines motion score data for the medical imaging data based on the motion probability data.

Abstract: Embodiments of the present invention provide a magnetic resonance imaging system and a method for obtaining magnetic resonance imaging data. The method comprises: applying a fat suppression pulse before the start of any repetition time of an imaging sequence; performing a plurality of echoes in the repetition time, wherein first image data when water and fat are in phase and second image data when water and fat are out of phase are obtained during each echo of the plurality of echoes; and obtaining fat-suppressed image data according to the first image data and the second image data.

Abstract: The present invention relates to a 3D perspective indicator and a generation method therefor and an application thereof. The present invention specifically provides a 3D perspective indicator for a CT system and a generation method therefor as well as a method and an apparatus for controlling a scanning range in a CT system.

Abstract: Methods and systems are provided for adaptive scan control. In one embodiment, a method includes, upon an injection of a contrast agent, processing acquired projection data of an anatomical region of interest (ROI) of a subject to measure a contrast signal of the contrast agent, determining when each of a plurality of zones of a contrast scan are estimated to occur based on the contrast signal, updating a scan prescription for the contrast scan based on when each of the plurality of zones of the scan protocol are estimated to occur, and performing the contrast scan according to the updated scan prescription.

Abstract: Various methods and systems are provided for multi-material decomposition for computed tomography. In one embodiment, a method comprises acquiring, via an imaging system, projection data for a plurality of x-ray spectra, estimating path lengths for a plurality of materials based on the projection data and calibration data for the imaging system, iteratively refining the estimated path lengths based on a linearized model derived from the calibration data, and reconstructing material-density images for each material of the plurality of materials from the iteratively-refined estimated path lengths. By determining path-length estimates in this way without modeling the physics of the imaging system, accurate material decomposition may be performed more quickly and with less sensitivity to changes in physics of the system, and furthermore may be extended to more than two materials.

Abstract: The current disclosure provides for mapping medical images to style transferred medical images using deep neural networks, while maintaining clinical quality of the style transferred medical image, thereby enabling a clinician to evaluate medical images in a preferred style without loss of clinically relevant content. In one embodiment the current disclosure provides for a method comprising, acquiring a medical image of an anatomical region of a subject, wherein the medical image is in a first style, selecting a target style, wherein the target style is distinct from the first style, selecting a clinical quality metric, selecting a trained style transfer network based on the target style and the clinical quality metric, mapping the medical image to a style transferred medical image using the trained style transfer network, wherein the style transferred medical image is in the target style, and displaying the style transferred medical image via a display device.

Abstract: A computer-implemented method of correcting phase and reducing noise in magnetic resonance (MR) phase images is provided. The method includes executing a neural network model for analyzing MR images, wherein the neural network model is trained with a pair of pristine images and corrupted images, wherein the corrupted images include corrupted phase information, the pristine images are the corrupted images with the corrupted phase information reduced, and target output images of the neural network model are the pristine images. The method further includes receiving MR images including corrupted phase information, and analyzing the received MR images using the neural network model. The method also includes deriving pristine phase images of the received MR images based on the analysis, wherein the derived pristine phase images include reduced corrupted phase information, compared to the received MR images, and outputting MR images based on the derived pristine phase images.

Abstract: Various methods and systems are provided for spectral computed tomography (CT) imaging. In one embodiment, a method comprises performing a scan of a subject to acquire, with a detector array comprising a plurality of detector elements, projection data of the subject, generating corrected path-length estimates based on the projection data and one or more selected correction functions, and reconstructing at least one material density image based on the corrected path-length estimates. In this way, the fidelity of spectral information is improved, thereby increasing image quality for spectral computed tomography (CT) imaging systems, especially those configured with photon-counting detectors.

Abstract: Methods and systems are provided for adaptive scan control. In one embodiment, a method includes, upon a first injection of a contrast agent, processing acquired projection data of a monitoring area of a subject to measure a contrast signal of the contrast agent, determining when each of a plurality of zones of a contrast scan are estimated to occur based on the contrast signal, generating a scan prescription for the contrast scan based on when each of the plurality of zones are estimated to occur, and upon a second injection of contrast agent, performing the contrast scan according to the scan prescription.

Abstract: An electrode kit for preparing a medical device for a patient. The electrode kit includes a central support member having a device side and a patient side with one or more perforations are defined between. A conductive material extends through the one or more perforations to couple the patient and the medical device. A device side cover is removably coupled to the device side of the central support member, where the central support member is configured to be coupled to the medical device when the device side cover is removed. A patient side cover is removably coupled to the patient side of the central support member, where the central support member is configured to couple to the medical device to the patent when the patient side cover is removed.

Abstract: Systems and techniques for generating and/or employing a computed tomography (CT) medical imaging stroke model are presented. In one example, a system employs a convolutional neural network to generate learned medical imaging stroke data regarding a brain anatomical region based on CT data associated with the brain anatomical region and diffusion-weighted imaging (DWI) data associated with one or more segmentation masks for the brain anatomical region. The system also detects presence or absence of a medical stroke condition in a CT image based on the learned medical imaging stroke data.