Abstract: A Method for reconstructing an image of a patient's heart from a magnetic resonance imaging device generating a magnetic field, includes acquisition of the electrical activity of the patient's heart; generation of an MRI sequence and acquisition of a 2D black blood image; generation of an MRI sequence and acquisition of a 2D bright blood image; application of a non-rigid registration algorithm to each subset of black blood images for each heart section; application of a non-rigid registration algorithm to each subset of bright blood images for each heart section; generation of a set of 2D images for each section plane, each image corresponding to a combination made between each pair of black blood and bright blood images.

Abstract: A method for determining an optimal characteristic set of at least one characteristic parameter of an image acquisition sequence of an area to be imaged by magnetic resonance configured to substantially cancel out medical signals from at least one predetermined tissue, the method including the selection, computer-implemented, of an optimal characteristic image having a greater number of pixels of intensity less than or equal to a given intensity threshold among a plurality of characteristic images of a characteristic area of the area to be imaged generated by respective acquisition sequences having distinct respective sets of at least one characteristic parameter, the optimal characteristic set being the characteristic set of the acquisition sequence by which the optimal characteristic image was generated.

Abstract: A method of segmentation of a three-dimensional image for generating a model of a myocardial wall includes recording a three-dimensional image of a wall of the myocardium, the wall delimiting at least one cavity of the heart; segmenting a continuous part of the wall into at least a first volume having a thickness less than a first predefined thickness threshold of between 0 and 5 mm and a second volume of a continuous part of the wall having a thickness greater than the first threshold; generating a model of the wall of the myocardium, where the continuous part of the wall of the myocardium is modelled according to at least two volumes that continue each other.

Abstract: A method of segmentation of a three-dimensional image for generating a model of a myocardial wall includes recording a three-dimensional image of a wall of the myocardium, the wall delimiting at least one cavity of the heart; segmenting a continuous part of the wall into at least a first volume having a thickness less than a first predefined thickness threshold of between 0 and 5 mm and a second volume of a continuous part of the wall having a thickness greater than the first threshold; generating a model of the wall of the myocardium, where the continuous part of the wall of the myocardium is modelled according to at least two volumes that continue each other.

Abstract: A method for quantifying the presence of fats in a region of the heart includes an acquisition of an image of at least one cavity of the heart and of a wall; a selection of at least one pixel of a section through the heart including a density of pixels included in a first range of values; a growth in the selection of at least one pixel so as to define an extended 3D zone delimited by the cavity; an operation of homogeneous dilation of the extended 3D zone making it possible to define a dilated volume; an operation of extracting a peripheral region arising from the subtraction between the dilated volume and the extended 3D zone; a quantification of the number of pixels of a second range of values within the peripheral region.

Abstract: A method for quantifying the presence of fats in a region of the heart includes an acquisition of an image of at least one cavity of the heart and of a wall; a selection of at least one pixel of a section through the heart including a density of pixels included in a first range of values; a growth in the selection of at least one pixel so as to define an extended 3D zone delimited by the cavity; an operation of homogeneous dilation of the extended 3D zone making it possible to define a dilated volume; an operation of extracting a peripheral region arising from the subtraction between the dilated volume and the extended 3D zone; a quantification of the number of pixels of a second range of values within the peripheral region.