Abstract: A rotorcraft rotor comprising a hub made up of a monolithic body of composite material obtained by stacking successive layers of carbon fiber fabric dusted with a thermoplastic resin and compressed while hot. The hub is provided with branches on which respective blades are mounted via hinge systems, each including a strength member bearing radially against a corresponding branch. The strength members are individually received in sockets defined on fabrication so that when the rotor is set into rotation at a predefined operating speed, the radial thrust seat for enabling the strength members to bear against the branches present bearing surfaces that are cylindrical, the radial thrust seats then being of shape complementary to a cylindrical bearing surface of the corresponding strength member.

Abstract: A rotorcraft rotor comprising a hub made up of a monolithic body of composite material obtained by stacking successive layers of carbon fiber fabric dusted with a thermoplastic resin and compressed while hot. The hub is provided with branches on which respective blades are mounted via hinge systems, each including a strength member bearing radially against a corresponding branch. The strength members are individually received in sockets defined on fabrication so that when the rotor is set into rotation at a predefined operating speed, the radial thrust seat for enabling the strength members to bear against the branches present bearing surfaces that are cylindrical, the radial thrust seats then being of shape complementary to a cylindrical bearing surface of the corresponding strength member.

Abstract: A laminated abutment (10) comprising an inner strength member (11), an outer strength member (12), and an elastomeric member (15) comprising a stack of main layers (20, 30) that are flexible and of secondary layers (40) that are rigid. The stack comprises at least one first main layer (20) and at least one second main layer (30), each first main layer (20) presenting, in a lead-lag plane (PTRA), a first thickness (e1) that varies between a minimum first thickness (e1min) on the pitch-variation axis (AXPAS) and a maximum first thickness (e1max) on the flapping axis (AXBAT), and each second main layer (30) presenting, in a lead-lag plane (PTRA), a second thickness (e2) that varies between a minimum second thickness (e2min) on the flapping axis (AXBAT) and a maximum second thickness (e2max) on the pitch-variation axis (AXPAS).

Abstract: The present invention relates to a damper (10) provided with an inner end strength member (20) and an outer end strength member (30) that are tubular and coaxial, a return member (40) being arranged between the inner end strength member (20) and the outer end strength member (30). The return member (40) includes an intermediate strength member (43) coaxial with the inner and outer end strength members (20, 30), said return member (40) having first and second return means (41, 42), said first return means (41) being arranged between the outer end strength member (30) and said intermediate strength member (43), said second return means (42) being arranged between the inner end strength member (20) and said intermediate strength member (43).

Abstract: The present invention relates to a damper (10) provided with an inner end strength member (20) and an outer end strength member (30) that are tubular and coaxial, a return member (40) being arranged between the inner end strength member (20) and the outer end strength member (30). The return member (40) includes an intermediate strength member (43) coaxial with the inner and outer end strength members (20, 30), said return member (40) having first and second return means (41, 42), said first return means (41) being arranged between the outer end strength member (30) and said intermediate strength member (43), said second return means (42) being arranged between the inner end strength member (20) and said intermediate strength member (43).

Abstract: For the automatic detection and characterization of nodules in a tomographic image of an anatomical zone of a patient, the image is segmented for identifying therein a region of interest, and the segmented image is processed for identifying the nodule. During the processing step, an ellipsoid inscribed in the region of interest is modeled for deciding whether the image elements inscribed in this ellipsoid correspond to a nodule, and, for each zone of the region of interest extending beyond the ellipsoid, the image elements are identified which do not belong to the module according to mathematical morphologic criteria.

Abstract: An image display and review system for display of medical images represented by a digital image data set wherein a pre-defined number of viewports for display of different image representations is provided and wherein at least some of these viewports are configured to enable sequential display of different image representations deduced from the digital image data set.

Abstract: An image display system includes user configurable viewports for the review and analysis of image data. The user configurable viewports include a review viewport and an analysis viewport. The review viewport displays in a review mode, a plurality of image views of the image data. The analysis viewport displays in an analysis mode, a plurality of image views of the image data. The review viewport and the analysis viewport may be configured for simultaneous display of related image data.

Abstract: Methods and systems for processing image data are described. One method includes identifying image data corresponding to an imaged trachea and identifying image data corresponding to imaged lungs. The method further includes separating the image data corresponding to the imaged trachea from the imaged data corresponding to the imaged lungs.

Abstract: Methods and systems for quantification of a selected attribute of an image volume are provided. The system is configured to receive an image dataset for a volume of interest, process the dataset for a selected attribute based at least on one of shape and texture to obtain a plurality of responses, and compute an index of an aggregate of a plurality of obtained responses.

Abstract: A method for analyzing a three-dimensional (3D) image representative of an initial volume of interest (VOI) containing a lesion is disclosed. The 3D image has an associated binary map having voxels associated with a thresholded variance map of the initial VOI. The initial VOI has boundaries that may be defined by a cube. A final VOI is determined that is less than the initial VOI, where the final VOI is a function of the number of transitions from a boundary voxel to a filtered voxel at an outer boundary of the lesion. The final VOI is then analyzed to determine a nodule consistency class, classified based upon the computed nodule consistency class by applying a voxel-clustering algorithm, and displayed with respect to three classifications of tissue.

Abstract: A method includes generating a first response including a plurality of potential first objects of interest of a first shape from data regarding a region of interest (ROI), generating a second response including a plurality of second objects of interest for a second shape different than the first shape from the data regarding the ROI, and performing a morphological closing on the second response to produce a second cleaned response including a plurality of completed second objects. The method also includes decreasing the number of potential objects of interest in the first response by deleting any potential first objects that overlap any completed second objects to obtain a cleaned first response, and generating an image using at least one of the first cleaned response and the second cleaned response.

Abstract: The method comprises: accessing the multi-dimensional dataset; generating a plurality of differential operators for the multi-dimensional dataset using a discrete approximation of an analytic function; and forming a plurality of geometric responses based on a plurality of differential operators resultant from the generating. The method optionally further includes isolating a selected region of interest from the multi-dimensional dataset; the selected region of interest comprising a subset of the imaging volume.

Abstract: A method for detection and classification of nodules (N) in a tomographic image of an anatomical zone of a patient includes segmenting the image to identify therein a region of interest including at least one nodule, and classifying regions of the nodule as one of solid, part-solid, and non-solid.

Abstract: A method for detection and classification of nodules (N) in a tomographic image of an anatomical zone of a patient includes segmenting the image to identify therein a region of interest including at least one nodule, and classifying regions of the nodule as one of solid, part-solid, and non-solid.

Abstract: For the automatic detection and characterization of nodules in a tomographic image of an anatomical zone of a patient, the image is segmented for identifying therein a region of interest, and the segmented image is processed for identifying the nodule.