Abstract: According to an embodiment, a lithium ion battery includes an anode having an active material, a conductive additive, and a binder including carboxymethyl cellulose, styrene-butadiene rubber, and magnesium-alginate at a ratio of 1.5:1.5:1 such that the specific capacity of the anode is 350 mAh/g to 365 mAh/g and an internal resistance of the anode is 65 m? to 75 m?. The lithium ion battery further includes a cathode, and a separator between the anode and cathode.

Abstract: A physiological detection device includes system including a first array PPG detector, a second array PPG detector, a display and a processing unit. The first array PPG detector is configured to generate a plurality of first PPG signals. The second array PPG detector is configured to generate a plurality of second PPG signals. The display is configured to show a detected result of the physiological detection system. The processing unit is configured to convert the plurality of first PPG signals and the plurality of second PPG signals to a first 3D energy distribution and a second 3D energy distribution, respectively, and control the display to show an alert message.

Abstract: A sprayer includes: a container arranged to contain liquid; a passage including a transparent window, a first opening, a second opening and a resonator, wherein when the liquid in the container is passed through the resonator via the first opening, the liquid is emitted as a gas via the second opening; and a detection unit disposed outside of the passage. The detection unit includes: a light source disposed to emit light through the light transparent window for illuminating the gas in the passage such that the gas will reflect the emitted light; an optical sensor disposed to detect a parameter of the reflected light through the transparent window; and a processor coupled to the optical sensor for stopping the resonator from generating the gas when the parameter of the reflected light is below a first threshold corresponding to a specific level of liquid within the container.

Abstract: Image processing performed by a computer (22) includes iterative image reconstruction or refinement (26, 56) that produces a series of update images ending in an iteratively reconstructed or refined image. A difference image (34, 64) is computed between a first update image (30, 60) and a second update image (32, 62) of the series. The difference image is converted to a feature image (40) and is used in the iterative processing (26, 56) or in post-processing (44) performed on the iteratively reconstructed or refined images or images from different reconstruction or refinement techniques. In another embodiment, first and second image reconstructions (81, 83) are performed to generate respective first and second reconstructed images (80, 82). A difference image (84) is computed between two images each selected from the group: the first reconstructed image, an update image of the first reconstruction, the second reconstructed image, and an update image of the second reconstruction.

Abstract: A physiological detection device includes an array sensor and a processing unit. The array sensor is configured to output array photoplethysmography (PPG) signals. The processing unit is configured to construct a 3D energy distribution, and identify an arc-like pattern in the 3D energy distribution according to the array PPG signals to accordingly identify different microcirculation states and an attaching status.

Abstract: A system is disclosed that includes a memory and a processor to perform operations, including analyzing rail voltage drop for a full-chip to identify an IR drop violation in a block design of the full-chip. The operations include performing a block-level rail voltage drop analysis for the block design and generating a revised block design corresponding to the block design in which the IR drop violation is identified. The operations include performing a block-level rail voltage drop analysis on the revised block design to verify that the IR drop violation is fixed and integrating the revised block design into the full-chip to replace the block design upon verifying that the IR drop violation is fixed. The operations include performing the rail voltage drop analysis for the full-chip comprising the revised block design.

Abstract: A diagnostic imaging system retrieves data (206) from a plurality of accessible data sources, the accessible data sources storing data including physiological data describing a subject to be imaged, a nature of a requested diagnostic image, image preferences of a clinician who requested the diagnostic image, and previously reconstructed images of the requested nature of the subject and/or other subjects, reconstruction parameters and/or sub-routines used to reconstruct the previously reconstructed images. The system analyzes (6, 12) the retrieved data to automatically generate reconstruction parameters and/or sub-steps specific to the nature of the requested diagnostic image, the subject, and the clinician image preferences. The system controls a display device (10, 216) to display the generated reconstruction parameters and/or sub-routines to the user for a user selection.

Abstract: A semiconductor structure and a forming method thereof are disclosed. The forming method includes: providing a base; forming a first electrode layer on the base; forming a capacitance dielectric layer on a top and a sidewall of the first electrode layer; and forming a second electrode layer conformally covering the capacitance dielectric layer. Compared with a solution in which the capacitance dielectric layer only covers the top of the first electrode layer, in the present disclosure, an effective area between the second electrode layer and the first electrode layer is increased, the second electrode layer, the first electrode layer, and the capacitance dielectric layer located on the top of the first electrode layer construct one capacitance, and the second electrode layer, the first electrode layer, and the capacitance dielectric layer located on the sidewall of the first electrode layer construct other four capacitances. That is, the formed capacitor structure includes five parallel capacitances.

Abstract: An imaging device (1) includes a positron emission tomography (PET) scanner (10) including radiation detectors (12) and coincidence circuitry for detecting electron-positron annihilation events as 511 keV gamma ray pairs defining lines of response (LORs) with each event having a detection time difference At between the 511 keV gamma rays of the pair. At least one processor (30) is programmed to reconstruct a dataset comprising detected electron-positron annihilation events acquired for a region of interest by the PET scanner to form a reconstructed PET image wherein the reconstruction includes TOF localization of the events along respective LORs using a TOF kernel having a location parameter dependent on At and a TOF kernel width or shape that varies over the region of interest. A display device (34) is configured to display the reconstructed PET image.

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: When performing nuclear medicine image reconstruction, lesion proxies (208) are introduced by a clinician and merged with real acquired scan data outside or inside the patient in the patient image. By monitoring the image attributes of the lesion proxies during reconstruction and processing, reconstruction and processing parameters can be dynamically adapted or adjusted in order to optimize image quality and quantitation to improve delivery of precise, personalized medical treatment.

Abstract: Emission imaging data are reconstructed to generate a low dose reconstructed image. Standardized uptake value (SUV) conversion (30) is applied to convert the low dose reconstructed image to a low dose SUV image. A neural network (46, 48) is applied to the low dose SUV image to generate an estimated full dose SUV image. Prior to applying the neural network the low dose reconstructed image or the low dose SUV image is filtered using a low pass filter (32). The neural network is trained on a set of training low dose SUV images and corresponding training full dose SUV images to transform the training low dose SUV images to match the corresponding training full dose SUV images, using a loss function having a mean square error loss component (34) and a loss component (36) that penalizes loss of image texture and/or a loss component (38) that promotes edge preservation.

Abstract: A non-transitory computer-readable medium stores instructions readable and executable by a workstation including at least one electronic processor to perform an image interpretation method. The method includes: spatially registering first and second images of a target portion of a patient in a common image space (102), the first and second images being obtained from different image sessions and having pixel values in standardized uptake value (SUV) units; determining SUV pairs for corresponding pixels of the spatially registered first and second images (104); and controlling a display device to display a two-dimensional (2D) scatter plot of the determined SUV pairs wherein the 2D scatter plot has a first SUV axis for the first image and a second SUV axis for the second image (106).

Abstract: According to an embodiment, a lithium ion battery includes an anode having an active material, a conductive additive, and a binder including carboxymethyl cellulose, styrene-butadiene rubber, and magnesium-alginate at a ratio of 1.5:1.5:1 such that the specific capacity of the anode is 350 mAh/g to 365 mAh/g and an internal resistance of the anode is 65 m? to 75 m?. The lithium ion battery further includes a cathode, and a separator between the anode and cathode.

Abstract: In a multi-session imaging study, information from a previous imaging session is stored in a Binary Large Object (BLOB). Current emission imaging data are reconstructed into a non-attenuation corrected (NAC) current emission image. A spatial transform is generated aligning a previous NAC emission image from the BLOB to the current NAC emission image. A previous computed tomography (CT) image from the BLOB is warped using the spatial transform, and the current emission imaging data are reconstructed with attenuation correction using the warped CT image. Alternatively, low dose current emission imaging data and a current CT image are acquired, a spatial transform is generated aligning the previous CT image to the current CT image, a previous attenuation corrected (AC) emission image from the BLOB is warped using the spatial transform, and the current emission imaging data are reconstructed using the current CT image with the warped AC emission image as prior.

Abstract: A battery-powered tool (200) may include a first tool-side electrical contact (251), a battery detection switch (220), a tool load (300), and a load connection switching device (210). The load connection switching device (210) may be configured to make an electrical connection between the first tool-side electrical contact (251) and the tool load (300) in response to a state change of the battery detection switch (220). The tool (200) may define engagement positions with the battery (110). In the first engagement position, a first battery-side electrical contact (111) is electrically coupled to a first tool-side electrical contact (251), and the battery detection switch (220) is not physically engaged. In the second engagement position, the first battery-side electrical contact (111) is electrically coupled to the tool-side electrical contact (251), and the battery detection switch (220) is physically engaged to cause a state change of the battery detection switch (220).

Abstract: A positron emission tomography (PET) imaging device (10) includes a plurality of PET detector modules (18); and a robotic gantry (20) operatively connected to the PET detector modules. The robotic gantry is configured to control a position of each PET detector module along at least two of an axial axis, a radial axis, and a tangential axis of the corresponding PET detector module.

Abstract: A molding method is provided. The method includes steps of: providing a mold having a male mold forming a column and a female mold forming a cavity; multiple ribs extending along a longitudinal direction of the column are formed on the column; inserting the male mold into the female mold to close the mold to make the column inserted in and separated from an inner surface of the cavity; filling a molten plastic material mixed with metal particles into the cavity so as to make the material fill a space between the column and the cavity; forming a molded heat transfer component covering the column by the solidified plastic material; taking out the molded heat transfer component with the column along the longitudinal direction of the column from the cavity; and separating the molded heat transfer component from the column along the longitudinal direction of the column.

Abstract: In a multi-session imaging study, information from a previous imaging session is stored in a Binary Large Object (BLOB). Current emission imaging data are reconstructed into a non-attenuation corrected (NAC) current emission image. A spatial transform is generated aligning a previous NAC emission image from the BLOB to the current NAC emission image. A previous computed tomography (CT) image from the BLOB is warped using the spatial transform, and the current emission imaging data are reconstructed with attenuation correction using the warped CT image. Alternatively, low dose current emission imaging data and a current CT image are acquired, a spatial transform is generated aligning the previous CT image to the current CT image, a previous attenuation corrected (AC) emission image from the BLOB is warped using the spatial transform, and the current emission imaging data are reconstructed using the current CT image with the warped AC emission image as prior.

Abstract: A non-transitory computer-readable medium storing instructions readable and executable by a workstation (18) including at least one electronic processor (20) to perform a quality control (QC) method (100). The method includes: receiving a current QC data set acquired by a pixelated detector (14) and one or more prior QC data sets acquired by the pixelated detector; determining stability levels of detector pixels (16) of the pixelated detector over time from the current QC data set and the one or more prior QC data sets; labeling a detector pixel of the pixelated detector as dead when the stability level determined for the detector pixel is outside of a stability threshold range; and displaying, on a display device (24) operatively connected with the workstation, an identification (28) of the detector pixels labelled as dead.