Abstract: A method of processing a radiological image of an organ. The method may comprise generating a recombined image (R) from at least one previously acquired low energy image (L) and one high energy image (H) of a portion of the organ. The recombined image comprises a background and one or more areas corresponding to the presence of a contrast medium in the organ. The method may further comprise correcting the recombined image (R) by compensating (C) for the nonuniformities present in the background to obtain a compensated recombined image in which the background has a substantially uniform grey level.

Abstract: A method to generate a final image with a medical imaging system, wherein the final image highlights suspect regions in a tissue matrix and wherein the final image is generated from a first image and from previously acquired images of the tissue matrix is provided. The method comprises: creating a 3D map of suspicion from the previously acquired medical images; generating a 2D map of suspicion by projecting all or part of the 3D map of suspicion onto a plane from a point reproducing the conditions of acquisition of the first image; and generating a final 2D image of the tissue matrix from the first image and/or from the 2D map of suspicion, wherein the final 2D image highlights suspect regions in the tissue matrix.

Abstract: A method of extrapolating a bidimensional grey-level image using a radiography device.

Abstract: In a method for the processing of radiology images for detection of radiological signs, an algorithm is provided to detect such radiological signs on projections as a function of their contrasts. These contrasts are measured by using the responses of linear differential filters with different scale parameters. The method can be used to color or enhance the intensity of the radiological signs detected as a function of their degree of malignancy. The algorithm may be applied directly to the signal given by the detector.

Abstract: In a method and apparatus for image processing an algorithm is used to detect radiological signals in a series of 3D data. The algorithm indicates the position of a radiological signs in a digital volume by means of markers. The algorithm has the potential to distinguish automatically between malignant elements and benign elements. The algorithm comprises a fuzzy logic approach to explain the ambiguities in the image. The algorithm is applied directly to the radiography projection images.

Abstract: A method for processing tomosynthesis images of an object of interest, using an imaging system, the imaging system comprising an X-ray source positioned facing a detector on which the object of interest is positioned. With the method of an embodiment of the invention, it is possible to obtain a representation of the contents of an organ.

Abstract: A method for X-ray imaging of a body using an imaging device comprising an image sensor and an X-ray emitter which operates at different emission spectra, wherein the method includes: acquiring a first image resulting from the passage through the body of X-rays emitted by the X-ray emitter with a first emission spectrum; calculating characteristics of the body on the basis of the first image, and calculating a second and a third emission spectrum based on the characteristics of the body, wherein the first, second and third emission spectra are distinct from one another; acquiring a second and third image resulting from the passage through the body of X-rays emitted by the X-ray emitter with the second and third emission spectrum respectively; and modeling the body by generating thickness charts for different materials comprising the body on the basis of the three images.

Abstract: In an image-processing method for the detection of radiological signs in series of 3D data, an algorithm is used to detect radiological signs in a digital volume according to their contrasts. This algorithm is applied to reconstructed slices or directly to the series of projections. This algorithm is made by means of linear differential filters for signal analysis. It is used to color or enhance the intensity of the detected radiological signals according to the degree of malignancy.

Abstract: A method of processing a radiological image of an organ. The method may comprise generating a recombined image (R) from at least one previously acquired low energy image (L) and one high energy image (H) of a portion of the organ. The recombined image comprises a background and one or more areas corresponding to the presence of a contrast medium in the organ. The method may further comprise correcting the recombined image (R) by compensating (C) for the nonuniformities present in the background to obtain a compensated recombined image in which the background has a substantially uniform grey level.

Abstract: A method of extrapolating a bidimensional grey-level image using a radiography device.

Abstract: A method and apparatus for calibrating an apparatus that acquires a sequence of radiographic images and correcting images of an object under observation. For each image of a sequence acquired by the apparatus and for a given frequency of acquisition of the sequence, the apparatus is calibrated by determining the value of the variation of a mean of gray levels in at least one zone of interest of the current image of at least one calibration device, the variation being determined relative to the mean gray level of the first image of the sequence in each zone of interest. The determination of the variation is reiterated for a series of images sequences acquired using calibration devices resulting in first images of mean gray levels different from one sequence to another.

Abstract: A method and apparatus for calibrating an apparatus that acquires a sequence of radiographic images and correcting images of an object under observation. For each image of a sequence acquired by the apparatus and for a given frequency of acquisition of the sequence, the apparatus is calibrated by determining the value of the variation of a mean of gray levels in at least one zone of interest of the current image of at least one calibration device, the variation being determined relative to the mean gray level of the first image of the sequence in each zone of interest. The determination of the variation is reiterated for a series of images sequences acquired using calibration devices resulting in first images of mean gray levels different from one sequence to another.

Abstract: In an image-processing method for the detection of radiological signs in series of 3D data, an algorithm is used to detect radiological signs in a digital volume according to their contrasts. This algorithm is applied to reconstructed slices or directly to the series of projections. This algorithm is made by means of linear differential filters for signal analysis. It is used to color or enhance the intensity of the detected radiological signals according to the degree of malignancy.

Abstract: In a method for the processing of radiology images for detection of radiological signs, an algorithm is provided to detect such radiological signs on projections as a function of their contrasts. These contrasts are measured by using the responses of linear differential filters with different scale parameters. The method can be used to color or enhance the intensity of the radiological signs detected as a function of their degree of malignancy. The algorithm may be applied directly to the signal given by the detector.

Abstract: An apparatus and method for medical imaging, particularly for mammography, wherein a body organ, such as a breast, is exposed to X-rays and the X-rays are collected after attenuation through the object. The recorded attenuations are processed and displaying a result of this processing in the form of a representation of an image of the object. The processing of the recorded attenuations form includes automatic classification of zones of the breast into pathological or non-pathological classes. The automatic classification takes into account at least one classification input into the apparatus in advance in association with data that can be collected by the apparatus, and using this prior classification as a reference in order to produce a classification of the same type if there is similarity between the collected data and the data associated with this reference classification.

Abstract: An x-ray device comprises means for the production of at least one standard projection image of the object in which presumed suspect zones corresponding to radiological signs are represented by markers. The device comprises means for the production of a digital volume of markers in which 3D markers are created in order to represent presumed suspect zones of the object. It also comprises means of re-projection of the 3D markers in the standard projection image in order to confirm the presence of the markers or eliminate or add the markers of the projection image is necessary.

Abstract: In a method and apparatus for image processing an algorithm is used to detect radiological signals in a series of 3D data. The algorithm indicates the position of a radiological signs in a digital volume by means of markers. The algorithm has the potential to distinguish automatically between malignant elements and benign elements. The algorithm comprises a fuzzy logic approach to explain the ambiguities in the image. The algorithm is applied directly to the radiography projection images.

Abstract: A technique is provided for performing a computer aided detection (CAD) analysis of a three-dimensional volume using a computer assisted detection and/or diagnosis (CAD) algorithms. The technique includes selecting one or more three-dimensional points of interest in a three-dimensional volume, forward projecting the one or more three-dimensional points of interest to determine a corresponding set of projection points within one or more two-dimensional projection images, and computing output values at the one or more three-dimensional points of interest based on one or more feature values or a CAD output at the corresponding set of projection points.

Abstract: A method for performing a computer aided detection (CAD) analysis of images acquired from a multiple projection X-ray system is provided. The method comprises accessing the projection images from the multiple projection X-ray system and applying a plurality of reconstruction algorithms on the projection images to generate a plurality of reconstructed images. Then, the method comprises applying a CAD algorithm to the plurality of reconstructed images.

Abstract: A method and apparatus for breast vascularization from projective images resulting from the attenuations of an X-ray beam across the breast in the presence of an injected contrast-medium product. A series of projective images is acquired for different orientations of the beam, in relation to the breast. The projective images are treated to provide a reconstruction of a three-dimensional model of the breast observed.