Abstract: An apparatus for incremental motion correction in medical imaging. The apparatus for motion correction in magnetic resonance imaging includes processing circuitry configured to estimate an intermediate image from a first section of k-space, the first section of the k-space corresponding to acquisition time points within a magnetic resonance scan of a subject, the corresponding acquisition time points within the magnetic resonance scan being associated with shots of the k-space determined to have minimal motion, estimate motion parameters of a second section of the k-space using the estimated intermediate image, combine data from the first section of the k-space with data from the second section of the k-space according to the estimated motion parameters, and reconstruct the combined data of the k-space to generate a final image.

Abstract: A computing apparatus including a memory storing at least one instruction; and at least one processor configured to execute the at least one instruction to: obtain terminal user property information based on data received from a terminal and a knowledge graph; and compare the terminal user property information with content property information to search for a potential customer.

Abstract: An apparatus and method are provided to simultaneously provide good image quality and fast image reconstruction from magnetic resonance imaging (MRI) data by selecting an appropriate value for the regularization parameter used in compressed sensing (CS) image reconstruction. In CS reconstruction a high-resolution image can be reconstructed from randomized undersampled data by imposing sparsity in multi-scale transformation (e.g., wavelet) domain. Further, in the transformation domain, a threshold can be determined between signal and noise levels of the transform coefficients. A regularization parameter based on this threshold scales the regularization term, which imposes sparsity, relative to the data fidelity term in an objective function, thereby balancing the tradeoff between noise and smoothing.

Abstract: An apparatus and method are provided to simultaneously provide good image quality and fast image reconstruction from magnetic resonance imaging (MRI) data by selecting an appropriate value for the regularization parameter used in compressed sensing (CS) image reconstruction. In CS reconstruction a high-resolution image can be reconstructed from randomized undersampled data by imposing sparsity in multi-scale transformation (e.g., wavelet) domain. Further, in the transformation domain, a threshold can be determined between signal and noise levels of the transform coefficients. A regularization parameter based on this threshold scales the regularization term, which imposes sparsity, relative to the data fidelity term in an objective function, thereby balancing the tradeoff between noise and smoothing.

Abstract: A method and apparatuses are provided to perform chemical species separation in magnetic resonance (MR) imaging (MRI). At least three MR images corresponding respectively to different echo times are obtained and represent signals from multiple chemical species including a first species and a second species in a tissue. A plurality of dual-echo pairs is selected from the at least three MR images. For each pair, a set of dual-echo separated images including a B0 field map, a first image for the first species, and a second image for the second species is estimated. An initial set of combined images including at least one of: an initial combined B0 field map, first, and second image is generated by combining at least one of: two or more of the B0 field maps, two or more of the first images, and two or more of the second images.

Abstract: An apparatus and method are provided to simultaneously provide good image quality and fast image reconstruction from magnetic resonance imaging (MRI) data by selecting an appropriate value for the regularization parameter used in compressed sensing (CS) image reconstruction. In CS reconstruction a high-resolution image can be reconstructed from randomized undersampled data by imposing sparsity in multi-scale transformation (e.g., wavelet) domain. Further, in the transformation domain, a threshold can be determined between signal and noise levels of the transform coefficients. A regularization parameter based on this threshold scales the regularization term, which imposes sparsity, relative to the data fidelity term in an objective function, thereby balancing the tradeoff between noise and smoothing.

Abstract: A method and apparatuses are provided to perform chemical species separation in magnetic resonance (MR) imaging (MRI). At least three MR images corresponding respectively to different echo times are obtained and represent signals from multiple chemical species including a first species and a second species in a tissue. A plurality of dual-echo pairs is selected from the at least three MR images. For each pair, a set of dual-echo separated images including a B0 field map, a first image for the first species, and a second image for the second species is estimated. An initial set of combined images including at least one of: an initial combined B0 field map, first, and second image is generated by combining at least one of: two or more of the B0 field maps, two or more of the first images, and two or more of the second images.

Abstract: An object-based approach is used to initialize the magnetic field inhomogeneity estimation for chemical species separation, such as water-fat separation, and other imaging applications. For example, a susceptibility distribution in the subject being imaged is estimated from images reconstructed from single-echo or multi-echo k-space data and used to initialize the magnetic field inhomogeneity estimation. This approach can be applied to any complex-based chemical shift encoded chemical species separation technique and to other imaging applications, such as susceptibility-weighted imaging and quantitative susceptibility mapping. The field map can also be used to correct for image distortions and to generate magnetic field shimming values.

Abstract: An object-based approach is used to initialize the magnetic field inhomogeneity estimation for chemical species separation, such as water-fat separation, and other imaging applications. For example, a susceptibility distribution in the subject being imaged is estimated from images reconstructed from single-echo or multi-echo k-space data and used to initialize the magnetic field inhomogeneity estimation. This approach can be applied to any complex-based chemical shift encoded chemical species separation technique and to other imaging applications, such as susceptibility-weighted imaging and quantitative susceptibility mapping. The field map can also be used to correct for image distortions and to generate magnetic field shimming values.

Abstract: Communication network and method for providing communication facilities for a plurality of users. The communication network comprises an announcement generating element (14) for sending network related messages to any of the users. A further network element is connected to the announcement generating element, the further network element being arranged for determining a preferred language for a specific user (10) of the plurality of users, and sending network related messages to the specific user (10) in the preferred language.

Abstract: Systems and methods to optimize a layout based on the yield analysis is disclosed. The method includes generating an integrated circuit layout having two or more layers of wire interconnect to form net segments and having one or more via contact layers to couple net segments in the wire interconnect together. The method further includes performing a yield analysis of the net segments in the integrated circuit layout and displaying the net segments with a visual depiction of the yield analysis using multiple levels of opacity to reflect yield scores of the net segments in the integrated circuit layout.

Abstract: According to various embodiments of the invention electronic circuit design information can be presented to a designer by determining an electronic circuit comprising at least two gates and by determining a distance of one gate relative to another gate in a stage. A visual indicator for the stage can be calculated based on the distances between at least two gates in the stage. The visual indicator can then be displayed. The visual indicator can be a color and the relative distance can be indicated by brightness, hue or saturation, etc. Alternatively, the visual indicator can be a pattern and the relative distance between at least two gates can be indicated by darkness of the pattern.

Abstract: A system and method for determining a disk ownership model to be utilized by a storage system is disclosed. The storage system and method determines the individual disk ownership of each accessible disk to the storage system. If the number of disks utilizing a first ownership model is exceeded, the storage system utilizes the first ownership model. Otherwise, the storage system utilizes a second ownership model.

Abstract: Disclosed are methods, systems and apparatus for automatically placing decoupling capacitors in an integrated circuit to compensate for voltage drops that might otherwise occur in a power grid. In one embodiment of the invention, the method includes generating one or more regions of the integrated circuit design, with each region having one or more cells, determining an amount of decoupling capacitance required in each region of the integrated circuit design by analyzing each cell in the region, and adding sufficient decoupling capacitor cells to the region to compensate for the potential voltage drop.

Abstract: Communication network and method for providing communication facilities for a plurality of users. The communication network comprises an announcement generating element (14) for sending network related messages to any of the users. A further network element is connected to the announcement generating element, the further network element being arranged for determining a preferred language for a specific user (10) of the plurality of users, and sending network related messages to the specific user (10) in the preferred language.

Abstract: A system and method for determining a disk ownership model to be utilized by a storage system is disclosed. The storage system and method determines the individual disk ownership of each accessible disk to the storage system. If the number of disks utilizing a first ownership model is exceeded, the storage system utilizes the first ownership model. Otherwise, the storage system utilizes a second ownership model.

Abstract: A method and apparatus for performing a multi-stage wavelet transform on a block of image data, using a smaller memory than would be required to implement an equivalent conventional multi-stage wavelet transform on the same block, and a method and apparatus for performing compression on a block of image data by performing a multi-stage wavelet transform on the block, quantizing coefficients resulting from the multi-stage wavelet transform, and performing entropy encoding on the quantized coefficients. Typically, the input image data is generated by a document scanner, and is compressed in a manner allowing fast decompression (by employing simple entropy encoding) and imposing low memory requirements.