Abstract: Systems for delivering one or more studies, where each of the one or more studies has a series of digital images associated with only one person and generated by an imaging modality, is disclosed. The systems include a syncing application that is configured to execute within a local area network and that is in data communication with imaging modalities and/or computing devices configured to display images generated by each of the imaging modalities. The systems also include a server adapted to be external to the local area network and in data communication with the syncing application and a client-side viewing application installed on one or more of the computing devices. The client-side viewing application is configured to acquire the studies, including unrendered data representative of the digital images of the series, locally render the unrendered data, and enable a user to manipulate the digital images.

Abstract: Systems for delivering one or more studies, where each of the one or more studies has a series of digital images associated with only one person and generated by an imaging modality, is disclosed. The systems include a syncing application that is configured to execute within a local area network and that is in data communication with imaging modalities and/or computing devices configured to display images generated by each of the imaging modalities. The systems also include a server adapted to be external to the local area network and in data communication with the syncing application and a client-side viewing application installed on one or more of the computing devices. The client-side viewing application is configured to acquire the studies, including unrendered data representative of the digital images of the series, locally render the unrendered data, and enable a user to manipulate the digital images.

Abstract: A method for viewing pathology images in a web browser is provided.

Abstract: Systems for delivering one or more studies, where each of the one or more studies has a series of digital images associated with only one person and generated by an imaging modality, is disclosed. The systems include a syncing application that is configured to execute within a local area network and that is in data communication with imaging modalities and/or computing devices configured to display images generated by each of the imaging modalities. The systems also include a server adapted to be external to the local area network and in data communication with the syncing application and a client-side viewing application installed on one or more of the computing devices. The client-side viewing application is configured to acquire the studies, including unrendered data representative of the digital images of the series, locally render the unrendered data, and enable a user to manipulate the digital images.

Abstract: Systems for delivering one or more studies, where each of the one or more studies has a series of digital images associated with only one person and generated by an imaging modality, is disclosed. The systems include a syncing application that is configured to execute within a local area network and that is in data communication with imaging modalities and/or computing devices configured to display images generated by each of the imaging modalities. The systems also include a server adapted to be external to the local area network and in data communication with the syncing application and a client-side viewing application installed on one or more of the computing devices. The client-side viewing application is configured to acquire the studies, including unrendered data representative of the digital images of the series, locally render the unrendered data, and enable a user to manipulate the digital images.

Abstract: A system for electronically receiving, modifying and distributing three-dimensional medical images is disclosed.

Abstract: A method of training neural networks using digital images is disclosed. Each of the digital images is associated with an imaging modality, an anatomy of a person, a diagnosis of the person, an age of the person, a gender of the person, data indicative of contouring, an aggregated score, or a property of the anatomy of the person. In the method, a client side viewing application receives the digital images, receives a modification of one of the digital images, and transmits the modified digital image to a server. The server selects a neural network to train based on the digital image, trains the selected neural network, receives a request to apply one of the neural networks to another set of digital images, and selects a neural network to apply. The neural network is applied to the other set of digital images and generates a graphical, audio, alphanumeric text, or video result.

Abstract: A system for electronically receiving, modifying and distributing three-dimensional medical images is disclosed.

Abstract: Systems for delivering one or more studies, where each of the one or more studies has a series of digital images associated with only one person and generated by an imaging modality, is disclosed. The systems include a syncing application that is configured to execute within a local area network and that is in data communication with imaging modalities and/or computing devices configured to display images generated by each of the imaging modalities. The systems also include a server adapted to be external to the local area network and in data communication with the syncing application and a client-side viewing application installed on one or more of the computing devices. The client-side viewing application is configured to acquire the studies, including unrendered data representative of the digital images of the series, locally render the unrendered data, and enable a user to manipulate the digital images.

Abstract: A method of training neural networks using digital images is disclosed. Each of the digital images is associated with an imaging modality, an anatomy of a person, a diagnosis of the person, an age of the person, a gender of the person, data indicative of contouring, an aggregated score, or a property of the anatomy of the person. In the method, a client side viewing application receives the digital images, receives a modification of one of the digital images, and transmits the modified digital image to a server. The server selects a neural network to train based on the digital image, trains the selected neural network, receives a request to apply one of the neural networks to another set of digital images, and selects a neural network to apply. The neural network is applied to the other set of digital images and generates a graphical, audio, alphanumeric text, or video result.

Abstract: Systems for delivering one or more studies, where each of the one or more studies has a series of digital images associated with only one person and generated by an imaging modality, is disclosed. The systems include a syncing application that is configured to execute within a local area network and that is in data communication with imaging modalities and/or computing devices configured to display images generated by each of the imaging modalities. The systems also include a server adapted to be external to the local area network and in data communication with the syncing application and a client-side viewing application installed on one or more of the computing devices. The client-side viewing application is configured to acquire the studies, including unrendered data representative of the digital images of the series, locally render the unrendered data, and enable a user to manipulate the digital images.

Abstract: A system and method for processing large image files using HTML 5 employed by Web Browsers for efficiently process multiple images from the same or different sets of images by one or more client-side users contemporaneously, where the system includes a file server for storing native, processed, or partially processed, image files and meta data associated with the image files, a Web Viewer Cache for dynamic storage of such files and meta data such, a plurality of dedicated Web Servers to perform some or all of the image processing functionality, and a load balancer server dedicated to interfacing with one or more Web Browsers from client-side computers to direct, distribute and manage image retrieval and processing by the dedicated Web Servers regardless of whether a pre-fetch image processing request or a real-time image processing request has been made by the client-side computer users.

Abstract: A method facilitates viewing of DICOM medical images by providing a 16-bit DICOM image on a computer readable storage medium, text-converted metadata of the DICOM image and an html-compatible conversion of the DICOM pixel data on a computer readable storage medium. Pixel data of the DICOM image is converted by dividing the 16-bit image into two 8-bit color channels stored in an image referenced by a web page using a uniform resource locator. The two 8-bit color channels are later reassembled within a portable web browser according to instructions set forth in computer readable program code associated with the web page.

Abstract: A system and method for processing large image files using HTML 5 employed by Web Browsers for efficiently process multiple images from the same or different sets of images by one or more client-side users contemporaneously, where the system includes a file server for storing native, processed, or partially processed, image files and meta data associated with the image files, a Web Viewer Cache for dynamic storage of such files and meta data such, a plurality of dedicated Web Servers to perform some or all of the image processing functionality, and a load balancer server dedicated to interfacing with one or more Web Browsers from client-side computers to direct, distribute and manage image retrieval and processing by the dedicated Web Servers regardless of whether a pre-fetch image processing request or a real-time image processing request has been made by the client-side computer users.

Abstract: A method facilitates viewing of DICOM medical images by providing a 16-bit DICOM image on a computer readable storage medium, text-converted metadata of the DICOM image and an htrnl-compatible conversion of the DICOM pixel data on a computer readable storage medium. Pixel data of the DICOM image is converted by dividing the 16-bit image into two 8-bit color channels stored in an image referenced by a web page using a uniform resource locator. The two 8-bit color channels are later reassembled within a portable web browser according to instructions set forth in computer readable program code associated with the web page.

Abstract: A system and method for enhancing digital images is described. A digital image is transformed into a series of decomposed images in frequency bands, or different resolution grids. A decomposed image is noise suppressed and contrast enhanced. Representative value of signal at each pixel is computed based on contributions to signals from pixels in a neighborhood of the pixel. Lookup tables are applied to pixel values to selectively enhance signal in a predetermined range of signal strength. Another set of lookup tables are applied to pixel values to suppress noise components contained therein. Optionally, operations are applied to decomposed images to suppress quantum noise, enhance object edges or enhance global contrast, among others. These decomposed images, after signal enhancement and noise suppression, are then recombined to result in an enhanced image.

Abstract: Methods, systems, and computer-readable medium for detecting and removing unwanted information in a medical image. One method includes receiving, at a processor, an image, obtained using a shutter including at least a first blade and a second blade. The method also includes processing the image to identify a first plurality of candidate edges in the image for the first blade and a second plurality of candidate edges in the image for the second blade. The method further includes individually evaluating each of the first and second plurality of candidate edges to select one of the first plurality of candidate edges as a true edge for the first blade and one of the second plurality of candidate edges as a true edge for the second blade. In addition, the method includes removing the unwanted information from the image based on a location of each of the identified true edges.

Abstract: A method for removing shutter areas in an image, in particular an x-ray image is provided. Edges are examined in a multi-resolution image pyramid and evaluated to determine potential shutter blade candidates defining the shutter areas. Heuristic rules and/or an automatic classifier such as a Neuronal Network, are applied to distinguish true shutter blades from false positives. The rule set and the classifier are based on a set of features extracted from the potential shutter blade candidates as well as predetermined knowledge of the expected placement of the shutter, human anatomy. Up to four shutter blades are expected to be detected and based on these blades, the bright areas in the image that occur due to the shutters are removed.

Abstract: A method and computer program are provided for segmenting a prostate from a medical image such as an ultrasound image. Each slice in a study is analysed and uses a manual initialization to obtain an initial contour, in which a user selects initial points that are automatically rendered on the image. An automatic refinement stage then snaps the contour to the prostate boundary in the image based on a pre-stored anatomical atlas and edge information obtained from the image. A manual adjustment stage may then be performed and if selected, the contour is automatically propagated to the next image slice to avoid the manual initialization. An auxiliary image slice may be referred to, which indicates how the prostate shape changes from slice to slice, e.g. by providing a perpendicular profile.

Abstract: The invention relates to a method of segmenting an image of a structure stored as a set of spatially related data points representing variations in a predetermined parameter, said method comprising the steps of selecting a seed point within the structure to be segmented, assigning to each of the data points a value of connectivity indicative of the confidence that respective areas of the data points are part of the same structure as said seed point, said value of connectivity including a function of the distance of the respective point from said seed point, establishing a threshold value for said level of connectivity and selecting for display data points meeting said threshold value.