Abstract: A method and a system automatically evaluate the volume of penumbra mismatch during an exam. The method includes performing a magnetic resonance (MR) diffusion-weighted imaging of the brain for acquiring native diffusion images of brain slices. A MR perfusion-weighted imaging of the brain is performed for acquiring native perfusion images of the brain slices. For each brain slice, b0 native diffusion image of the brain slice are segmented to create a contour mask. For each brain slice, a necrosis and cerebrospinal fluid mask (hereafter NC mask) is created from an ADC map of the brain slice. The contour mask and the NC mask of a same slice are fused. For each brain slice, all native perfusion images acquired for the slice are aligned with the NC mask obtained for the slice and the NC mask is fused with each native perfusion image for obtaining a perfusion image.

Abstract: A method and a system automatically evaluate the volume of penumbra mismatch during an exam. The method includes performing a magnetic resonance (MR) diffusion-weighted imaging of the brain for acquiring native diffusion images of brain slices. A MR perfusion-weighted imaging of the brain is performed for acquiring native perfusion images of the brain slices. For each brain slice, b0 native diffusion image of the brain slice are segmented to create a contour mask. For each brain slice, a necrosis and cerebrospinal fluid mask (hereafter NC mask) is created from an ADC map of the brain slice. The contour mask and the NC mask of a same slice are fused. For each brain slice, all native perfusion images acquired for the slice are aligned with the NC mask obtained for the slice and the NC mask is fused with each native perfusion image for obtaining a perfusion image.

Abstract: The invention concerns a method of visualization of a part of a three-dimensional image. The part is defined by a finite predetermined volume, a sphere, for example, the center of which is located on an element of interest present in the three-dimensional image. In order to do so, a point is selected on the element of interest, a sphere is created in the three-dimensional image, the dimensions of which are predetermined and the center of which is the point on the element of interest, an intersection is made between the sphere and the three-dimensional image, and then the part of the three-dimensional image contained in the sphere is displayed.

Abstract: Method and system for processing vascular radiography images which have been reconstructed by three-dimensional modelling, in which: from this three-dimensional modelling there is determined a three-dimensional model known as the masked model which features the calcified elements and the prosthetic elements, but not the vascular elements; a three-dimensional model known as the subtracted model, which features the vascular elements alone, is determined; these two models are merged, weighting their voxels so as to increase the contrast between the images of the masked model and the images of the subtracted model; and summing the voxels thus weighted.

Abstract: One embodiment of the present invention is a method for analyzing tubular structures in a patient, including steps of: selecting a region of interest and a location within the region of interest from a displayed tube-shaped tree representative of a tubular structure in a patient; identifying a centerline of a structure within the tube-shaped tree within the region of interest; and displaying one or more views of the region of interest. The view or views are selected from at least a segmented 3-D view having the region of interest identified, a curved view of the selected branch, a reformatted view dependent upon the identified centerline, and a 3-D view dependent upon the identified centerline.

Abstract: A method and apparatus for displaying information concerning a tubular structure is disclosed. The method includes determining a centerline of the tubular structure and a plurality of center points along that centerline, determining a plurality of cross-sections at the respective center points that are perpendicular to the centerline, and identifying first values associated with each of the cross-sections and indicative of a first characteristic of the tubular structure. The method additionally includes generating a modified image of the tubular structure by determining a plurality of image lines corresponding to the respective cross-sections, and displaying a curve that represents the first characteristic alongside the modified image. The curve is formed by displaying, along a scale, a plurality of second values that are functionally related to the respective first values, each second value being positioned alongside the modified image along a respective one of the image lines.

Abstract: A method and an apparatus for displaying a structure of a vessel are disclosed. In one embodiment, the method includes identifying a centerline of the vessel within a portion of the vessel that includes the structure, identifying a contour of the vessel within a cross-sectional plane that is normal to a selected point along the centerline, measuring lengths of a plurality of segments that pass across the contour through the selected point, selecting one of the plurality of segments, and displaying an imaging plane defined by the selected one segment and an axis that is tangent to the centerline at the point. In another embodiment, the method includes determining a centerline of a tubular structure, selecting a section of the centerline, determining a plane that minimizes the distance to the selected section, and displaying the plane.

Abstract: A method of compensation for the thickness of an organ in an X-ray machine of the type comprising an X-ray source and a detector of the beam of X-rays after it has passed through the organ, the detector being capable of converting the X-ray beam into a digital electronic signal, in which, from a digitized image, an image of the radiologic thicknesses of an organ traversed by the X-ray beam is calculated, a thickness threshold is defined, from this there is derived an algebraic compensation image to bring the pixels of a level below or above the threshold back to the value of the threshold, and the thickness image and a proportion of the compensation image are summed up, to obtain a compensated thickness image.

Abstract: Method and system for processing vascular radiography images which have been reconstructed by three-dimensional modelling, in which: from this three-dimensional modelling there is determined a three-dimensional model known as the masked model which features the calcified elements and the prosthetic elements, but not the vascular elements; a three-dimensional model known as the subtracted model, which features the vascular elements alone, is determined; these two models are merged, weighting their voxels so as to increase the contrast between the images of the masked model and the images of the subtracted model; and summing the voxels thus weighted.

Abstract: A method of compensation for the thickness of an organ in an X-ray machine of the type comprising an X-ray source and a means of detection of the beam of X-rays after it has passed through the said organ, the detection means being capable of converting the X-ray beam into a digital electronic signal, in which, from a digitized image, an image of the radiologic thicknesses of an organ traversed by the X-ray beam is calculated, a thickness threshold is defined, from this there is derived an algebraic compensation image to bring the pixels of a level below or above the said threshold back to the value of the threshold, and the thickness image and a proportion of the compensation image are summed up, to obtain a compensated thickness image.

Abstract: A method and an apparatus for displaying a structure of a vessel are disclosed. In one embodiment, the method includes identifying a centerline of the vessel within a portion of the vessel that includes the structure, identifying a contour of the vessel within a cross-sectional plane that is normal to a selected point along the centerline, measuring lengths of a plurality of segments that pass across the contour through the selected point, selecting one of the plurality of segments, and displaying an imaging plane defined by the selected one segment and an axis that is tangent to the centerline at the point. In another embodiment, the method includes determining a centerline of a tubular structure, selecting a section of the centerline, determining a plane that minimizes the distance to the selected section, and displaying the plane.

Abstract: A method and apparatus for displaying information concerning a tubular structure is disclosed. The method includes determining a centerline of the tubular structure and a plurality of center points along that centerline, determining a plurality of cross-sections at the respective center points that are perpendicular to the centerline, and identifying first values associated with each of the cross-sections and indicative of a first characteristic of the tubular structure. The method additionally includes generating a modified image of the tubular structure by determining a plurality of image lines corresponding to the respective cross-sections, and displaying a curve that represents the first characteristic alongside the modified image. The curve is formed by displaying, along a scale, a plurality of second values that are functionally related to the respective first values, each second value being positioned alongside the modified image along a respective one of the image lines.

Abstract: One embodiment of the present invention is a method for interactively rotating a sampling surface of a reconstructed computed tomographic (CT) image. The method includes steps of: scanning a volume of a patient to collect a plurality of slices of image data; displaying an image slice including a structure of interest on a display; defining a segmented line approximating a centerline of the structure of interest; selecting a rotation vector, a reference vector, and an angle; generating a sampling vector as a function of the rotation vector, the reference vector, and the selected angle; and generating a curved reformation image from the plurality of slices of image data using the segmented line and the sampling vector.