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: 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 medical imaging data sets and metadata.

Abstract: Systems and methods for automated segmentation of anatomical structures, such as the human heart. The systems and methods employ convolutional neural networks (CNNs) to autonomously segment various parts of an anatomical structure represented by image data, such as 3D MRI data. The convolutional neural network utilizes two paths, a contracting path which includes convolution/pooling layers, and an expanding path which includes upsampling/convolution layers. The loss function used to validate the CNN model may specifically account for missing data, which allows for use of a larger training set. The CNN model may utilize multi-dimensional kernels (e.g., 2D, 3D, 4D, 6D), and may include various channels which encode spatial data, time data, flow data, etc. The systems and methods of the present disclosure also utilize CNNs to provide automated detection and display of landmarks in images of anatomical structures.

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 remote access to an application program. A server remote access program may cooperate with a screen scraping application to provide screen data to a client computing device. The display associated with the application program may be resized or cropped by a server for display on the client computing device. The client may connect to the server using a client remote access program that receives inputs from a user interface program.

Abstract: Systems and methods for providing remote access to an application program. A server remote access program may cooperate with display data interception application to provide display data to a client computing device. The client computing device may connect to the application at a Uniform Resourced Locator (URL) using a client remote access application to receive the display data. The client remote access application may provide user inputs, received at the client computing device, to the application to affect the state of the application.

Abstract: Systems and methods for determining a centerline of a tubular structure from volumetric data of vessels where a contrast agent was injected into the blood stream to enhance the imagery for centerlining. Given a 3D array of scalar values and a first and second point, the system and methods iteratively find a path from the start position to the end position that lies in the center of a tubular structure. A user interface may be provided to visually present and manipulate a centerline of the tubular structure and the tubular structure itself.

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: 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: Systems and methods for determining a centerline of a tubular structure from volumetric data of vessels where a contrast agent was injected into the blood stream to enhance the imagery for centerlining. Given a 3D array of scalar values and a first and second point, the system and methods iteratively find a path from the start position to the end position that lies in the center of a tubular structure. A user interface may be provided to visually present and manipulate a centerline of the tubular structure and the tubular structure itself.

Abstract: Systems and methods for determining a centerline of a tubular structure from volumetric data of vessels where a contrast agent was injected into the blood stream to enhance the imagery for centerlining. Given a 3D array of scalar values and a first and second point, the system and methods iteratively find a path from the start position to the end position that lies in the center of a tubular structure. A user interface may be provided to visually present and manipulate a centerline of the tubular structure and the tubular structure itself.

Abstract: A scalable image viewing architecture that minimizes requirements placed upon a server in a distributed architecture. Image data is pushed to a cloud-based service and pre-processed such that the image data is optimized for viewing by a remote client computing device. The associated metadata is separated and stored, and made available for searching. 2D image data may be communicated and rendered by the remote client computing device; whereas 3D image data be rendered by the cloud-based service by imaging servers and communicated to client computing device.

Abstract: A method for transmitting image data sets via a communication network is provided. Image data are processed for dividing the image into a plurality of the image sub regions and for determining for each of the plurality of the image sub regions a hash code in dependence upon pixel data of pixels located in the respective image sub region. The hash codes are transmitted together with location data of the respective image sub regions if the hash code exists in an associative dataset and the pixel data are transmitted together with location data of the respective image sub regions if the hash code does not exist in the associative dataset. Upon receipt of at least one of the hash codes and the pixel data together with the location data, image data are generated.

Abstract: Systems and methods for determining a centerline of a tubular structure from volumetric data of vessels where a contrast agent was injected into the blood stream to enhance the imagery for centerlining. Given a 3D array of scalar values and a first and second point, the system and methods iteratively find a path from the start position to the end position that lies in the center of a tubular structure. A user interface may be provided to visually present and manipulate a centerline of the tubular structure and the tubular structure itself.

Abstract: A method for remotely calibrating display of image data is provided. Using a processor of the client computer display data are determined. The display data are indicative of a luminance dynamic range of the display and of an ambient lighting environment of the display. The display data are then transmitted to a server computer. Using a processor of the server computer display adjustment data are determined in dependence upon the display data. The display adjustment data are then transmitted to the client computer. Alternatively, image data for displaying on the display are received. Adjusted image data are then determined in dependence upon the received image data and the display adjustment data and transmitted to the client computer.

Abstract: Systems and methods for providing remote access to an application program. A server remote access program may cooperate with display data interception application to provide display data to a client computing device. The client computing device may connect to the application at a Uniform Resourced Locator (URL) using a client remote access application to receive the display data. The client remote access application may provide user inputs, received at the client computing device, to the application to affect the state of the application.

Abstract: Systems and methods for determine a centerline of a tubular structure from volumetric data of vessels where a contrast agent was injected into the blood stream to enhance the imagery for centerline. An active contour model may be applied to determine contours of the vessel defined within image data by normalizing the image data about a starting point. A snake may be initialized a first time, where the snake defines a set of points that represent a spline within the vessel. Image forces that act on the snake to pull the snake toward a contour of the vessel may be calculated and iteratively applied in a minimization process to determine the contour of the vessel. Optionally, a Gaussian smoothing operation may be performed.

Abstract: Systems and methods for determine a centerline of a tubular structure from volumetric data of vessels where a contrast agent was injected into the blood stream to enhance the imagery for centerline. An active contour model may be applied to determine contours of the vessel defined within image data by normalizing the image data about a starting point. A snake may be initialized a first time, where the snake defines a set of points that represent a spline within the vessel. Image forces that act on the snake to pull the snake toward a contour of the vessel may be calculated and iteratively applied in a minimization process to determine the contour of the vessel. Optionally, a Gaussian smoothing operation may be performed.

Abstract: Systems and methods for determining a centerline of a tubular structure from volumetric data of vessels where a contrast agent was injected into the blood stream to enhance the imagery for centerlining. Given a 3D array of scalar values and a first and second point, the system and methods iteratively find a path from the start position to the end position that lies in the center of a tubular structure. A user interface may be provided to visually present and manipulate a centerline of the tubular structure and the tubular structure itself.

Abstract: Systems and methods for providing remote access to an application program. A server remote access program may cooperate with a screen scraping application to provide screen data to a client computing device. The display associated with the application program may be resized or cropped by a server for display on the client computing device. The client may connect to the server using a client remote access program that receives inputs from a user interface program.