Abstract: A method for constructing a 3D label from a precursor element and the 3D label are provided, the precursor element including at least one surface, the method including: determining at least one 2D representation associated with the at least one surface of the precursor element, the 2D representation comprising a plurality of values associated with parts of the surface of the precursor element, respectively, and constructing a corresponding section of the 3D label from the surface by attaching a structural feature of an element of the respective section, defining said element from the surface according to a value of the 2D representation associated with the respective part of the surface.

Abstract: A method for determining the amplitude of a movement performed by a member of an articulated body comprises: obtaining a segment representative of the positioning of the member in a given reference frame at the end of said movement, generating a three-dimensional model of the member, positioned in said reference frame by means of the obtained segment, obtaining a cloud of three-dimensional points representing the member in said reference frame at the end of said movement, based on depth information provided by a sensor, said depth information defining a three-dimensional scene comprising at least a part of the articulated body including said member, repositioning the model of the member so as to minimize a predetermined error criterion between the obtained cloud of points and said model, and determining the amplitude of the movement, based on the new positioning of the model of the member.

Abstract: A method for determining the amplitude of a movement performed by a member of an articulated body comprises: obtaining a segment representative of the positioning of the member in a given reference frame at the end of said movement, generating a three-dimensional model of the member, positioned in said reference frame by means of the obtained segment, obtaining a cloud of three-dimensional points representing the member in said reference frame at the end of said movement, based on depth information provided by a sensor, said depth information defining a three-dimensional scene comprising at least a part of the articulated body including said member, repositioning the model of the member so as to minimize a predetermined error criterion between the obtained cloud of points and said model, and determining the amplitude of the movement, based on the new positioning of the model of the member.

Abstract: A CT system includes a gantry having a rotatable base and having an opening for receiving an object to be scanned, an x-ray source, a CT detector, and a computer programmed to detect a mis-registration at a slab boundary between a first slab and a second slab of a reconstructed image, quantify an amount of mis-registration at the slab boundary, and adjust the reconstructed image at the slab boundary based on the quantification.

Abstract: A method of displaying image data for a tissue of an organ includes acquiring a three-dimensional (3D) projection dataset using a Computed Tomography (CT) imaging system, performing a segmentation of the 3D projection dataset that includes a plurality of voxels, performing a perfusion viability cluster analysis to identify myocardium voxels, grouping the myocardium voxels into viable clusters and non-viable clusters based on a density and a location of the myocardium voxels, and generating an image of the myocardium and a coronary tree using the viable clusters and the non-viable clusters. An imaging system and a non-transitory computer readable medium are also described herein.

Abstract: A CT system includes a gantry having a rotatable base and having an opening for receiving an object to be scanned, an x-ray source, a CT detector, and a computer programmed to detect a mis-registration at a slab boundary between a first slab and a second slab of a reconstructed image, quantify an amount of mis-registration at the slab boundary, and adjust the reconstructed image at the slab boundary based on the quantification.

Abstract: A data processing technique is provided. In one embodiment, a computer-implemented method includes receiving a set of dynamic computed tomography image data from a computed tomography imaging system, registering the image data, applying a smoothing filter to at least a selection of the registered image data, and outputting the results. The smoothing filter may be, for example, a uniform filter, a triangular filter, a Gaussian filter, a median filter, a percentile filter, a Kuwahara filter, an anisotropic filter, or any combination thereof. Additional methods, systems, and devices are also disclosed.

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: An imaging system for use in a medical intervention procedure is disclosed. A first image acquisition system is configured to produce a fluoroscopy image of an anatomical region. A second image acquisition system is configured to produce a 3D model of the anatomical region. An interventional tracking system, which includes a position indicator, is configured to maneuver within the anatomical region. A first anatomical reference system is common to both the first and the second image acquisition systems, and a second anatomical reference system is common to both the first image acquisition system and the interventional tracking system.

Abstract: A CT radiographic imaging process implements a processing operation on images in order to detect the use of a saline solution. When a saline solution is detected, it extracts a component or a portion of a component that does not appear to be contrasted in the initial images, for example, in the case of cardiac imaging, the right cavity of the heart. The imaging system comprises means for implementing this process.

Abstract: A method of displaying image data for a tissue of an organ includes acquiring a three-dimensional (3D) projection dataset using a Computed Tomography (CT) imaging system, performing a segmentation of the 3D projection dataset that includes a plurality of voxels, performing a perfusion viability cluster analysis to identify myocardium voxels, grouping the myocardium voxels into viable clusters and non-viable clusters based on a density and a location of the myocardium voxels, and generating an image of the myocardium and a coronary tree using the viable clusters and the non-viable clusters. An imaging system and a non-transitory computer readable medium are also described herein.

Abstract: Certain embodiments of the present invention provide systems, methods and computer instructions for detecting a pathological condition of a vasculature. Certain embodiments provide a method for detecting a pathological condition of a vasculature. The method includes accessing imaging data indicative of the vasculature and having a data type, selecting a detection process corresponding to the data type from among a plurality of detection processes, each of the detection processes processing data of a different data type. The method also includes processing the imaging data having the data type with the selected detection process, and superimposing the processed imaging data on the imaging data indicative of the pathological condition of the vasculature.

Abstract: A method for processing anatomic images acquired in volume by a medical imaging system. Also, a medical imaging system and a computer program, each configurable to perform this method.

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: Systems, method and apparatus in which some implementations of respiratory structure imaging includes tracking a portion in a organ, determining wall contours in the portion and color-coding confidence in the wall contours. Some implementations of the color-coding includes selecting a cross section of a portion, determining average intensity of a wall in the organ from equally space ray vectors, determining confidence from a distribution of the average intensity, labeling sections of an organ image in reference to the average intensity, and color coding sections of the image in the memory according to the confidence.

Abstract: Certain embodiments of the present invention provide a method and apparatus for identifying vascular structure in an image including: receiving at least one image including a vascular network; identifying at least one seed point corresponding to the vascular network; identifying automatically at least a portion of the vascular network to form an original vascular identification based at least in part on the at least one seed point; and allowing a dynamic user interaction with the vascular identification to form an iterative vascular identification. In an embodiment, the iterative vascular identification is formable in real-time. In an embodiment, the iterative vascular identification is displayable in real-time. In an embodiment, the iterative vascular identification is formable without re-identifying substantially unaltered portions of the vascular identification.

Abstract: Certain embodiments of the present invention provide a method and apparatus for identifying and segmenting vascular structure in an image including: receiving at least one image including a vascular network; identifying at least one seed point corresponding to the vascular network; identifying automatically at least a portion of the vascular network to form an original vascular identification based at least in part on the at least one seed point; and allowing a dynamic user interaction with the vascular identification to form an iterative vascular identification. In an embodiment, the iterative vascular identification is formable in real-time. In an embodiment, the iterative vascular identification is displayable in real-time. In an embodiment, the iterative vascular identification is formable without re-identifying substantially unaltered portions of the vascular identification.

Abstract: To measure the dimensions of a tubular vessel, it is planned to plot a set of wall lines on the surface of the vessels. Then, the lengths of these wall lines are measured between a starting section and an arrival section. The plotting of the wall lines starts from a central line of the vessel divided into segments. For each central line segment, a wall line segment is defined on the wall by intersection of a plane containing this central line segment and intersecting this wall. Other wall line segments are distributed all around and all along the wall. Then, the lengths are measured.

Abstract: A system and method to generate an illustration of a cardiac region of interest of an imaged subject is provided. The method includes generating a three-dimensional model from a series of acquired images of the cardiac region of interest; measuring a series of values of at least one functional parameter of the cardiac region of interest; generating a map of a spatial relation of the plurality of values of the functional parameter in spatial relation to the three-dimensional model of the cardiac region of interest; generating a three-dimensional model of a vessel structure leading to the cardiac region of interest; generating an output image that includes combining the three-dimensional model of the cardiac region of interest, the map of the series of values of the functional parameter, and the three-dimensional model of the vessel structure in spatial relation to one another relative to a common coordinate system.