Abstract: Example systems, methods and computer program products for cloud-based, anatomy-specific identification, processing and routing of image data in a cloud infrastructure are disclosed. An example method includes evaluating, automatically by a particularly programmed processor in a cloud infrastructure, image data to identify an anatomy in the image data. The example method includes processing, automatically by the processor, the image data based on a processing algorithm determined by the processor based on the anatomy identified in the image data. The example method also includes routing, automatically by the processor, the image data to a data consumer based on a routing strategy determined by the processor based on the anatomy identified in the image data. The example method includes generating, automatically by the processor based on the processing and routing, at least one of a push of the image data and a notification of availability of the image data.

Abstract: Example systems, methods and computer program products for cloud-based, anatomy-specific identification, processing and routing of image data in a cloud infrastructure are disclosed. An example method includes evaluating, automatically by a particularly programmed processor in a cloud infrastructure, image data to identify an anatomy in the image data. The example method includes processing, automatically by the processor, the image data based on a processing algorithm determined by the processor based on the anatomy identified in the image data. The example method also includes routing, automatically by the processor, the image data to a data consumer based on a routing strategy determined by the processor based on the anatomy identified in the image data. The example method includes generating, automatically by the processor based on the processing and routing, at least one of a push of the image data and a notification of availability of the image data.

Abstract: Example systems, methods and computer program products for cloud-based, anatomy-specific identification, processing and routing of image data in a cloud infrastructure are disclosed. An example method includes evaluating, automatically by a particularly programmed processor in a cloud infrastructure, image data to identify an anatomy in the image data. The example method includes processing, automatically by the processor, the image data based on a processing algorithm determined by the processor based on the anatomy identified in the image data. The example method also includes routing, automatically by the processor, the image data to a data consumer based on a routing strategy determined by the processor based on the anatomy identified in the image data. The example method includes generating, automatically by the processor based on the processing and routing, at least one of a push of the image data and a notification of availability of the image data.

Abstract: Example systems, methods and computer program products for cloud-based, anatomy-specific identification, processing and routing of image data in a cloud infrastructure are disclosed. An example method includes evaluating, automatically by a particularly programmed processor in a cloud infrastructure, image data to identify an anatomy in the image data. The example method includes processing, automatically by the processor, the image data based on a processing algorithm determined by the processor based on the anatomy identified in the image data. The example method also includes routing, automatically by the processor, the image data to a data consumer based on a routing strategy determined by the processor based on the anatomy identified in the image data. The example method includes generating, automatically by the processor based on the processing and routing, at least one of a push of the image data and a notification of availability of the image data.

Abstract: Example systems, methods and computer program products for cloud-based, anatomy-specific identification, processing and routing of image data in a cloud infrastructure are disclosed. An example method includes evaluating, automatically by a particularly programmed processor in a cloud infrastructure, image data to identify an anatomy in the image data. The example method includes processing, automatically by the processor, the image data based on a processing algorithm determined by the processor based on the anatomy identified in the image data. The example method also includes routing, automatically by the processor, the image data to a data consumer based on a routing strategy determined by the processor based on the anatomy identified in the image data. The example method includes generating, automatically by the processor based on the processing and routing, at least one of a push of the image data and a notification of availability of the image data.

Abstract: Example systems, methods and computer program products for cloud-based, anatomy-specific identification, processing and routing of image data in a cloud infrastructure are disclosed. An example method includes evaluating, automatically by a particularly programmed processor in a cloud infrastructure, image data to identify an anatomy in the image data. The example method includes processing, automatically by the processor, the image data based on a processing algorithm determined by the processor based on the anatomy identified in the image data. The example method also includes routing, automatically by the processor, the image data to a data consumer based on a routing strategy determined by the processor based on the anatomy identified in the image data. The example method includes generating, automatically by the processor based on the processing and routing, at least one of a push of the image data and a notification of availability of the image data.

Abstract: Systems and methods for real-time, interactive image analysis are disclosed. An example system includes a computing device configured to: generate a segmentation of the image in real-time based on a position of a movable pointer on the display and update the segmentation based on a change to the position of the pointer on the display; generate a representation of the object based on the segmentation, wherein the representation is simplified from the image of the object and includes an outline of the object based on the generated segmentation including the first center and the first significant axis; calculate measurements for the object based on the segmentation including the first center and the first significant axis; and display the representation and the measurements via the display.

Abstract: Systems and methods for real-time, interactive image analysis are disclosed. An example system includes a computing device configured to: generate a segmentation of the image in real-time based on a position of a movable pointer on the display and update the segmentation based on a change to the position of the pointer on the display; generate a representation of the object based on the segmentation, wherein the representation is simplified from the image of the object and includes an outline of the object based on the generated segmentation including the first center and the first significant axis; calculate measurements for the object based on the segmentation including the first center and the first significant axis; and display the representation and the measurements via the display.

Abstract: An imaging system and method for real-time, interactive image analysis are provided herein. The imaging system includes an imaging device configured to capture an image of an object and a computing device that includes a display. The computing device is communicably coupled to the imaging device and is configured to acquire the image from the imaging device and generate a segmentation of the image in real-time based on a position of a pointer on the display. The imaging device is also configured to generate a representation of the object based on the segmentation, calculate measurements for the object based on the segmentation, and display the representation and the measurements via the display.

Abstract: A computer implemented technique for real-time exploration of a vessel network is disclosed. According to the technique, medical image data of a region of interest (ROI) is accessed and a medical image of the ROI is displayed based on the medical image data. Real-time exploration of vessels of a vessel network associated with the medical image are enabled based on received operator input, so as to provide for generating and displaying a vessel curve preview of a vessel on the medical image based on an operator initiated positioning of a cursor in the medical image, generating and displaying a highlighted vessel curve of a vessel on the medical image based on an operator initiated input, and generating and displaying one or more parameters associated with a vessel based on an operator initiated input. The real-time exploration may be performed with/without any prior vessel validation in the vessel network.

Abstract: A method of analyzing a structure-of-interest (SOI) in a patient. The method includes obtaining a first medical image of a patient. The first medical image includes an identified structure-of-interest (SOI). The identified SOI has a corresponding local measurement. The method also includes receiving a second medical image of the patient and selecting an SOI in the second medical image. The selected SOI has a corresponding local measurement. The method also includes automatically determining that the selected SOI is the identified SOI based on corresponding location data of the identified and selected SOIs, respectively, and linking the local measurements of the selected and identified SOI.

Abstract: An imaging system and method for real-time, interactive image analysis are provided herein. The imaging system includes an imaging device configured to capture an image of an object and a computing device that includes a display. The computing device is communicably coupled to the imaging device and is configured to acquire the image from the imaging device and generate a segmentation of the image in real-time based on a position of a pointer on the display. The imaging device is also configured to generate a representation of the object based on the segmentation, calculate measurements for the object based on the segmentation, and display the representation and the measurements via the display.

Abstract: Certain embodiments of the present invention provide a system and method for synchronized viewing of a plurality of images of an object. Corresponding landmarks of an object are synchronized between a first image set and a second image set. In an embodiment, the landmarks are folds of a human colon and the first image set and second images sets are computerized tomography scans, at least one image set being a prone scan of a portion of anatomy and at least one image set being a supine scan of a portion of the anatomy. An indicator for at least a first location in a first image set is displayed. The location of a second location in a second image set of an object is determined, wherein the second location corresponds to the first location of the object. The second location in the second image set is displayed.

Abstract: Methods and apparatus for detecting aneurysm in vasculatures are provided. The method includes removing bone structures from three-dimensional (3D) computed tomography (CT) angiography image data and extracting spherical shapes from the bone removed 3D CT angiography image data. The method further includes displaying the extracted spherical shapes on an image of the 3D CT angiography image data.

Abstract: A method of analyzing a structure-of-interest (SOI) in a patient. The method includes obtaining a first medical image of a patient. The first medical image includes an identified structure-of-interest (SOI). The identified SOI has a corresponding local measurement. The method also includes receiving a second medical image of the patient and selecting an SOI in the second medical image. The selected SOI has a corresponding local measurement. The method also includes automatically determining that the selected SOI is the identified SOI based on corresponding location data of the identified and selected SOIs, respectively, and linking the local measurements of the selected and identified SOI.

Abstract: A system and method for displaying a set of data with a virtually dissected anatomical structure. In an embodiment, the anatomical structure is a colon and various attributes of the colonic lumen are assigned a color. In an embodiment, a virtual dissection of the colon is created by mapping a three-dimensional data set to a two dimensional data set. A plurality of display index values are computed which correspond to the three-dimensional data set. Various colors are assigned to specific display index values. The three-dimensional display index values are mapped to a two-dimensional set of display index values. As directed by a user, various color cues may be displayed with the virtually dissected lumen to provide color highlights to various aspects of the colon, such as highlighting shape, fluid, or fecal presence.

Abstract: A method is provided for synchronizing corresponding landmarks among a plurality of images of an elastic object. The method includes identifying a plurality of landmarks in a first image of the object and a second image of the object, determining a correspondence between the landmarks in the first image and the landmarks in the second image, determining a distance transformation between a pair of adjacent landmarks in the first image and the corresponding pair of adjacent landmarks in the second image, and when displaying the first and second images, using the distance transformation to smoothly navigate between the adjacent landmarks such that corresponding landmarks of the first and second images are arrived at about simultaneously during navigation.

Abstract: A method for registering a source image of an object with a target image of the object includes generating a mask image delineating a structure of interest from the source image, determining a distance map for the mask image, determining a shape representation by identifying an iso-value on the distance map such that level curves correspond to the characteristics of a desired shape, iteratively calculating a similarity metric corresponding to a region of overlap between the level curve based shape representation and the second image resulting in a registration transform, applying the registration transform to the target image to co-register the source image with the target image, and displaying the co-registered source image and the target image on a display device.

Abstract: A method for selecting and/or labeling a vessel image includes operating an imaging system to obtain reconstructed image data including a volume having vessels therein. A bone removal routine is then applied to the reconstructed image data to produce a bone-free image. An initial point on a main vessel in the bone-free image is located, and bifurcation points and branches departing from the main vessel are identified. An adjacency graph of each branch coming from the main vessel is built. The method includes either or both of selecting and displaying a best or at least a favorable path through the vessels in accordance with predetermined criteria using the adjacency branch, or labeling and displaying branches of the main vessel.

Abstract: Methods and apparatus for detecting aneurysm in vasculatures are provided. The method includes removing bone structures from three-dimensional (3D) computed tomography (CT) angiography image data and extracting spherical shapes from the bone removed 3D CT angiography image data. The method further includes displaying the extracted spherical shapes on an image of the 3D CT angiography image data.