Abstract: This disclosure relates to a system that synchronizes the presentation of medical images in multiple contexts and methods thereof. The system includes a variety of contexts that display medical images, and the contexts are connected by communication channels. When a user edits or otherwise interacts with one of the contexts, a message is sent to other contexts via the communication channels, and the other contexts can adjust their presentation of medical images to achieve synchronization.

Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets; segmentation; visualization of flow superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.

Abstract: Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are commonly used to assess patients with known or suspected pathologies of the lungs and liver. In particular, identification and quantification of possibly malignant regions identified in these high-resolution images is essential for accurate and timely diagnosis. However, careful quantitative assessment of lung and liver lesions is tedious and time consuming. This disclosure describes an automated end-to-end pipeline for accurate lesion detection and segmentation.

Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.

Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.

Abstract: Systems and methods for providing improved eddy current correction (ECC) in medical imaging environments. One or more of the embodiments disclosed herein provide a deep learning-based convolutional neural network (CNN) model trained to automatically generate an ECC mask which may be composited with two-dimensional (2D) scan slices or four-dimensional (4D) scan slices and made viewable through, for example, a web application, and made manipulable through a user interface thereof.

Abstract: Techniques to leverage computer monitor and graphics card hardware capabilities, using DCI-P3 and rec2020 color spaces for medical imagery are provided. The technique involves downloading the original raw source pixel data from the medical image from the webserver to the browser. A window and level transform is then applied to the raw pixel data enabling it to be displayed using the web browser capable of leveraging the hardware capabilities of commodity monitors and video cards that are capable of high bit depth display.

Abstract: A system and method for adding interface protection to an electronic design using parameters. The electronic design and interface protection scheme are defined as parameters. An interface protection model creates interface protection implementation parameters that describe the implementation details of the interface protection. A hardware description model uses the electronic design parameters and the interface protection implementation parameters to create a hardware description. The interface protection scheme can be a built-in protection scheme, a user defined scheme, a scheme that includes place holders that the user may define later, and a combination of the preceding. The interface protection scheme may contain components to help with the retiming of the description of hardware.

Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets; segmentation; visualization of flow superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.

Abstract: Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are commonly used to assess patients with known or suspected pathologies of the lungs and liver. In particular, identification and quantification of possibly malignant regions identified in these high-resolution images is essential for accurate and timely diagnosis. However, careful quantitative assessment of lung and liver lesions is tedious and time consuming. This disclosure describes an automated end-to-end pipeline for accurate lesion detection and segmentation.

Abstract: A system, and corresponding method, is described for correcting an uncorrectable error in a coherent system. The uncorrectable error is detecting using an error detecting code, such as parity or SECDED. The cache controller or agent calculates a set of possible addresses. The directory is queried to determine which one of the set of possible addresses is the correct address. The agent and/or cache controller is updated with the correct address or way. The invention can be implemented in any chip, system, method, or HDL code that perform protection schemes and require ECC calculation, of any kind. Embodiments of the invention enable IPs that use different protections schemes to reduce power consumption and reduce bandwidth access to more efficiently correct errors and avoid a system restart when an uncorrectable error occurs.

Abstract: In accordance with various aspects of the invention, a recall transaction is issued if a tag filter entry needs to be freed up for an incoming transaction. Directory entries chosen for a recall transaction are pushed into a fully associative structure called victim buffer. If this structure gets full, then an entry is selected from entries inside the victim buffer for the recall.

Abstract: A system and method for adding interface protection to an electronic design using parameters. The electronic design and interface protection scheme are defined as parameters. An interface protection model creates interface protection implementation parameters that describe the implementation details of the interface protection. A hardware description model uses the electronic design parameters and the interface protection implementation parameters to create a hardware description. The interface protection scheme can be a built-in protection scheme, a user defined scheme, a scheme that includes place holders that the user may define later, and a combination of the preceding. The interface protection scheme may contain components to help with the retiming of the description of hardware.

Abstract: A system, and corresponding method, is described for correcting an uncorrectable error in a coherent system. The uncorrectable error is detecting using an error detecting code, such as parity or SECDED. The cache controller or agent calculates a set of possible addresses. The directory is queried to determine which one of the set of possible addresses is the correct address. The agent and/or cache controller is updated with the correct address or way. The invention can be implemented in any chip, system, method, or HDL code that perform protection schemes and require ECC calculation, of any kind. Embodiments of the invention enable IPs that use different protections schemes to reduce power consumption and reduce bandwidth access to more efficiently correct errors and avoid a system restart when an uncorrectable error occurs.

Abstract: A system, and corresponding method, is described for updating or calculating ECC where the transaction volume is significantly reduced from a read-modify-write to a write, which is more efficient and reduces demand on the data access bandwidth. The invention can be implemented in any chip, system, method, or HDL code that perform protection schemes and require ECC calculation, of any kind. Embodiments of the invention enable IPs that use different protections schemes to reduce power consumption and reduce bandwidth access to more efficiently communicate or exchange information.

Abstract: Systems and methods for automated segmentation of anatomical structures (e.g., heart). Convolutional neural networks (CNNs) may be employed to autonomously segment parts of an anatomical structure represented by image data, such as 3D MRI data. The CNN utilizes two paths, a contracting path and an expanding path. In at least some implementations, the expanding path includes fewer convolution operations than the contracting path. Systems and methods also autonomously calculate an image intensity threshold that differentiates blood from papillary and trabeculae muscles in the interior of an endocardium contour, and autonomously apply the image intensity threshold to define a contour or mask that describes the boundary of the papillary and trabeculae muscles. Systems and methods also calculate contours or masks delineating the endocardium and epicardium using the trained CNN model, and anatomically localize pathologies or functional characteristics of the myocardial muscle using the calculated contours or masks.

Abstract: A resilient system implementation in a network-on-chip with data paths being duplicated in a network translation unit.

Abstract: A system and method are disclosed for a cache IP that includes registers that are programmed through a service port. Service registers are selected from the registers to define an address range so that all cache lines within the address range can be flushed automatically using a control signal sent to a control register.

Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: perform error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. An asynchronous command and imaging pipeline allows remote image processing and analysis in a timely and secure manner even with complicated or large 4-D flow MRI data sets.

Abstract: A SoC interconnect network topology is represented. The corresponding SoC floorplan is divided into windows, which are contiguous and non-overlapping. Within each window a subnetwork of the SoC interconnect network topology is defined that includes links or communication paths between IP blocks in the window as well as links or communication paths that traverse the window. At the shared boundaries of the windows, ports are added and defined as virtual ports. The overall SoC topology can be optimized and synthesized by optimizing each window independently and then incrementally optimizing all links, from end-to-end, that traverse two or more windows. The SoC topology is edited, such as by adding switches, removing switches, and adding and removing switches on routes. An initial location of elements within the floorplan is automatically computed and recommended. Locations can also be edited. Statistical metrics are calculated, including wire length, switch area, SoC area, and maximum signal propagation rate.