Abstract: The invention relates to a method for analyzing a movement by a human being, the method including the following steps: selecting an initial probability function, processing, recognizing the end of the movement to be analyzed when a criterion is verified, the processing step being iterated for as long as the criterion is not verified, determining a piece of information regarding the movement to be analyzed, each iteration of the processing step comprising a step for: providing a set of characteristic parameters relative to the movement to be analyzed during the chosen computing time interval, computing a point, the computed point belonging to a reference kinematic and making a function depending on the a posteriori conditional probability function extremal, the determination step taking into account the points computed upon each iteration of the processing step.

Abstract: It relates to a method for segmenting images, to a method for detecting specific structures, and to a related computer device. The method for segmenting a three-dimensional image of a subject includes dividing the image into a plurality of regions, and then hierarchically merging the regions resulting from the division in order to obtain a three-dimensional image partitioned into regions of interest. The hierarchical merging includes a merging step using shape and size criteria of the regions so as to avoid merging small regions. The method for detecting specific structures in an image, for example tumors, includes a step of segmenting an image into regions of interest. The method further includes calculating, for each region of interest, a plurality of criteria, including a shape criterion, of the regions of interest in order to discriminate the specific structures to be detected from the regions of interest of the segmented image.

Abstract: A method provides for estimating the concentration of a tracer in a tissue structure assembly including at least one tissue structure, from a measurement image of the tracer concentration in said tissue structure assembly, which is obtained by an imaging apparatus, wherein said image includes at least one space domain inside which the tracer concentration is homogenous and at least one region of interest in which the tracer concentration is measured.

Abstract: This extraction method in a structure of a living organism from a measurement image of the kinetics of the active ingredient comprising a plurality of regions of interest inside each of which the kinetics of the active ingredient are measured, comprises the following steps: determining (30) a plurality of sets of kinetics, the determined sets of kinetics being different from each other and each determined set of kinetics including several measured kinetics; defining (32) at least one kinetic model, parameters of the defined kinetics model being formed by the parameters of the input function and the pharmacokinetic parameters; estimating (34) the input function and the pharmacokinetic parameters by resolving the kinetic model defined from the determined set of kinetics; and deducing (36) the final input function and the final pharmacokinetic parameters.

Abstract: It relates to a method for segmenting images, to a method for detecting specific structures, and to a related computer device. The method for segmenting a three-dimensional image of a subject includes dividing the image into a plurality of regions, and then hierarchically merging the regions resulting from the division in order to obtain a three-dimensional image partitioned into regions of interest. The hierarchical merging includes a merging step using shape and size criteria of the regions so as to avoid merging small regions. The method for detecting specific structures in an image, for example tumors, includes a step of segmenting an image into regions of interest. The method further includes calculating, for each region of interest, a plurality of criteria, including a shape criterion, of the regions of interest in order to discriminate the specific structures to be detected from the regions of interest of the segmented image.

Abstract: A method provides for estimating the concentration of a tracer in a tissue structure assembly including at least one tissue structure, from a measurement image of the tracer concentration in said tissue structure assembly, which is obtained by an imaging apparatus, wherein said image includes at least one space domain inside which the tracer concentration is homogenous and at least one region of interest in which the tracer concentration is measured.

Abstract: This extraction method in a structure of a living organism from a measurement image of the kinetics of the active ingredient comprising a plurality of regions of interest inside each of which the kinetics of the active ingredient are measured, comprises the following steps: determining (30) a plurality of sets of kinetics, the determined sets of kinetics being different from each other and each determined set of kinetics including several measured kinetics; defining (32) at least one kinetic model, parameters of the defined kinetics model being formed by the parameters of the input function and the pharmacokinetic parameters; estimating (34) the input function and the pharmacokinetic parameters by resolving the kinetic model defined from the determined set of kinetics; and deducing (36) the final input function and the final pharmacokinetic parameters.

Abstract: The present invention relates to a method of segmenting a starting image or sequence of tridimensional images for obtaining a tridimensional segmentation image comprising a partition into regions of interest, said image or sequence of images comprising measurements, for each voxel and in the course of n time intervals (n?1), of the real evolution of a signal representative of at least one variable of said image or sequence, which comprises essentially: a) a modeling (10) of the signal comprising the definition of a parametric model of spatio-temporal evolution of said signal, this model comprising sets of homogeneous parameters respectively specific to structures corresponding to said regions of interest; b) an extraction (30) of samples of voxels respectively included in said structures; then c) a merging (50b) of the samples grouping together those whose evolution model is specific to the same structure, said merging following, preceding or including a classification of all the voxels of said image or se

Abstract: The present invention relates to a method of segmenting a starting image or sequence of tridimensional images for obtaining a tridimensional segmentation image comprising a partition into regions of interest, said image or sequence of images comprising measurements, for each voxel and in the course of n time intervals (n?1), of the real evolution of a signal representative of at least one variable of said image or sequence, which comprises essentially: a) a modeling (10) of the signal comprising the definition of a parametric model of spatio-temporal evolution of said signal, this model comprising sets of homogeneous parameters respectively specific to structures corresponding to said regions of interest; b) an extraction (30) of samples of voxels respectively included in said structures; then c) a merging (50b) of the samples grouping together those whose evolution model is specific to the same structure, said merging following, preceding or including a classification of all the voxels of said image or