Abstract: A coating removing device includes a coating thickness gauge configured for detecting a thickness of a coating layer formed on a surface of a article. A controller configured for determining an intensity of a laser beam needed to be emitted according to the thickness of the coating layer detected by the coating thickness gauge. In addition, a laser emitter emits the laser beam to the coating layer to remove the coating layer, the laser beam having the intensity determined according to the thickness of the coating layer. The intensity and energy of the laser beam arrived the surface of the article is changed over the coating thickness on the surface, the coated adhesive layer of the PCB is removed, and the appearance of the PCB will not be damaged.

Abstract: A package-integrable high sound quality voice coil loudspeaker structure includes a metal shell, and a diaphragm, voice coil washer, magnet, T iron and PCB packed integrally inside the metal shell; the metal shell has a cylindrical side wall and bottom wall, and a sound output is opened on the bottom wall, with a lengthened cylinder in communication with the first sound output being projected outward integrally from the bottom face of the bottom wall. Therefore, the present invention utilizing the metal shell to pack all components integrally simplifies the assembly process, and has a good waterproof performance. In addition, the configuration of the lengthened cylinder improves the sound quality.

Abstract: A method is described that involves receiving an application and generating a representation of the application that describes states of the application and transitions between the states. The method further includes referring to one or more rules and/or information from an inference engine that is observing the application's run time behavior to identify a region of interest within the application and reaching the region of interest by performing the following: identifying a path from the application's present state to the region of interest; representing states of the application along the path as logic expressions; solving the expressions to generate solutions to the expressions; causing stimuli to be provided to the application, where the stimuli correspond to the solutions.

Abstract: The present disclosure introduces a method and an apparatus for classifying images. Classification image features of an image for classification are extracted. Based on a similarity relationship between each classification image feature and one or more visual words in a pre-generated visual dictionary, each classification image feature is quantified by multiple visual words in the visual dictionary and a similarity coefficient between each classification image feature and each of the visual words is determined. Based on the similarity coefficient of each visual word that corresponds to different classification image features, a weight of each visual word is determined to establish a classification visual word histogram of the image for classification. The classification visual word histogram is input into an image classifier that is trained by sample visual word histograms arising from multiple sample images. An output result is used to determine a classification of the image for classification.

Abstract: Magnetic resonance reconstruction includes motion compensation. Inverse-consistent non-rigid registration is used to determine motion between shots. The motion is incorporated into reconstruction. The incorporation compensates for the motion resulting from the period over which the MR data is acquired.

Abstract: Parallel magnetic resonance imaging (pMRI) reconstruction techniques are commonly used to reduce scan time by undersampling the k-space data. In GRAPPA, a k-space based pMRI technique, the missing k-space data are estimated by solving a set of linear equations; however, this set of equations does not take advantage of the correlations within the missing k-space data. All k-space data in a neighborhood acquired from a phased-array coil are correlated. The correlation can be estimated easily as a self-constraint condition, and formulated as an extra set of linear equations to improve the performance of GRAPPA. We propose a modified k-space based pMRI technique call self-constraint GRAPPA (SC-GRAPPA) which combines the linear equations of GRAPPA with these extra equations to solve for the missing k-space data. Since SC-GRAPPA utilizes a least-squares solution of the linear equations, it has a closed-form solution that does not require an iterative solver.

Abstract: Parallel imaging magnetic resonance reconstruction is performed with temporal sensitivity. Rather than estimate the coil sensitivity once for each coil of an array, the coil sensitivity at different times is estimated. The movement of the patient may result in different sensitivities at different times. By using the time varying sensitivity in iterative, self-consistent, non-linear parallel imaging, real-time imaging may be provided with stable artifacts in view of increasing SNR even with higher reduction factors (e.g., 4-6).

Abstract: Disclosed are methods and compositions for treating a patient having chronic myelogenous/myeloid leukemia (CML). The methods utilize and the compositions include prostaglandin E1 (PGE1) or Misoprotol.

Abstract: A method is described that includes receiving an application and generating a representation of the application that describes specific states of the application and specific state transitions of the application. The method further includes identifying a region of interest of the application based on rules and observations of the application's execution. The method further includes determining specific stimuli that will cause one or more state transitions within the application to reach the region of interest. The method further includes enabling one or more monitors within the application's run time environment and applying the stimuli. The method further includes generating monitoring information from the one or more monitors. The method further includes applying rules to the monitoring information to determine a next set of stimuli to be applied to the application in pursuit of determining whether the region of interest corresponds to improperly behaving code.

Abstract: A method is described that involves generating one or more machine learned rules with a machine learning system. The method also involves generating a representation of an application that describes various states and state transitions of the application. The method also involves referring to the one or more machine learned rules and the representation to identify a region of interest of the application. The method also involves configuring one or more monitors for the application to be enabled in a run time environment of the application. The method also involves setting conditions of the application within the run time environment to drive the application's execution to the region of interest. The method also involves observing behaviors of the application and determining whether the region of interest corresponds to improperly behaving code.

Abstract: Phase sensitive T1 mapping is provided in magnetic resonance (MR). The phase from samples of a modified Look-Locker inversion recovery sequence may be used to normalize contrast, allowing for accurate motion registration without extra information acquisition. The sign may be estimated, allowing T1 mapping with a single application of a non-linear fit.

Abstract: A user may submit an image and request from a server one or more images that are similar to the submitted image. The server may generate an image signature based on the content of the submitted image. The server may conduct a Hash operation to the image signature to generate one or more Hash values. These Hash values may be used to identify one or more candidate images similar to the image in a Hash table. These candidate images may be sorted and outputted to the user based on similarity. The similarity between each of the candidate images and the image may be determined using at least one of Hamming distance or Euclidean distance.

Abstract: Embodiments of the present application relate to a form recognition method, a form recognition system, and a computer program product for recognizing forms. A form recognition method is provided. The method includes conducting a straight line detection of a form in a form binary image to acquire a plurality of form boundaries of the form and a plurality of positional relationships between the plurality of form boundaries, extracting a plurality of features from the form using the plurality of form boundaries and the positional relationships between the plurality of form boundaries, establishing a feature vector associated with the form based at least in part on the plurality of features, calculating similarities between the form and respective ones of a plurality of template forms based at least in part on the feature vector of the form, and identifying the form based on the calculated similarities.

Abstract: A method of magnetic resonance (MR) imaging of a volume undergoing repetitive motion includes obtaining source slice data indicative of a plurality of source slices during the repetitive motion, and obtaining anchor slice data indicative of an anchor slice during the repetitive motion. The anchor slice intersects the plurality of source slices. The source slice data and the anchor slice data are reconstructed. A three-dimensional image assembly procedure is implemented to generate, for each phase of the repetitive motion, volume data based on a respective subset of the reconstructed source slice data. For each phase of the repetitive motion, the respective subset of slices is selected based on a correlation of the source slice data and the anchor slice data along an intersection between each source slice and the anchor slice. The source slice data of the selected subset is corrected for misalignment with the anchor slice data.

Abstract: An imaging lens includes a lens barrel, an imaging unit and a light shielding unit. The lens barrel includes a base wall formed with a light incident hole at an optical axis of the imaging lens and a surrounding wall that extends from and cooperates with the base wall to define a receiving space. The imaging unit includes a plurality of imaging components each having an annular front contact surface and an annular back contact surface. The light shielding unit includes an annular retaining portion clamped between an adjacent pair of the imaging components, an object-side protruding portion with a first edge, and an image-side protruding portion with a second edge.

Abstract: A method for correcting the background phase in magnetic resonance phase contrast flow images includes providing a time series of velocity encoded magnetic resonance images of a patient, where the time series of velocity encoded images comprises for each time point a phase contrast image where a pixel intensity is proportional to a flow velocity, measuring a change of intensity for each pixel over the time series of phase contrast images, identifying pixels with a low measure of temporal change as stationary pixels, and calculating a correction field for the stationary pixels, where the correction field represents a background phase to be subtracted from the phase contrast image.

Abstract: A computer-implemented method for determining magnetic field inversion time of a tissue species includes generating a T1-mapping image of a tissue of interest, the T1-mapping image comprising a plurality of T1 values within an expected range of T1 values for the tissue of interest. An image mask is created based on predetermined identification information about the tissue of interest. Next, an updated image mask is created based on a largest connected region in the image mask. The updated image mask is applied to the T1-mapping image to yield a masked image. Then, a mean relaxation time value is determined for the largest connected region. The mean relaxation time value is then used to determine a time point for nulling longitudinal magnetization.

Abstract: A method for performing motion compensation in a series of magnetic resonance (MR) images includes acquiring a set of MR image frames spanning different points along an MR recovery curve. A motion-free synthetic image is generated for each of the acquired MR image frames using prior knowledge pertaining to an MR recovery curve. Each of the acquired MR images is registered to its corresponding generated synthetic images. Motion within each of the acquired MR image is corrected based on its corresponding generated synthetic image that has been registered thereto.

Abstract: A method including receiving an image sequence, wherein the image sequence includes a plurality of two-dimensional (2D) image frames of an organ arranged in a time sequence; constructing a three-dimensional (3D) volume by stacking a plurality of the 2D image frames in time order; detecting a best bounding box for a target of interest in the 3D volume, wherein the best bounding box is specified by a plurality of parameters including spatial and temporal information contained in the 3D volume; and determining the target of interest from the best bounding box.

Abstract: A method for identifying a region of interest within a time sequence of images includes acquiring a time sequence of images comprising a plurality of image frames. Image segmentation is performed to segment a region of interest (ROI) from within each of the plurality of image frames of the time sequence of images. Manual edits are received for the ROI within one or more of the plurality of image frames. The manual edits are propagated to other image frames of the plurality of images. An extent to which each of the manual edits are propagated to other image frames is dependent upon a transformation function or deformation field used to propagate the manual edits and a weighing factor that is influenced by a distance in time between the other image frames and the frames that have been manually edited.