Reivindicaciones

1. A method for displaying the information contained in three-dimensional images of the heart, consisting of the following steps: 1. obtaining a three-dimensional image of at least one part of the heart by means of a non-invasive technique 2. defining a region of interest within the three-dimensional image 3. defining a surface on which the information will be displayed 4. generating a three-dimensional polygon mesh representing said surface, formed by vertices and arcs connecting said vertices 5. assigning display parameters to the vertices of the three-dimensional polygon mesh 6. generating an interactive display from the three-dimensional mesh and from the display parameters assigned to its vertices characterized in that : a) the three-dimensional image has contrast according to an anatomical or functional characteristic of the tissues of interest of the heart b) the region of interest within the heart is defined by an expert from anatomical and functional criteria c) the surface on which the display is carried out is defined by an expert, independently of the region of interest d) a weight function indicating the contribution of each voxel of the region of interest to the mentioned vertex is defined for each vertex of the polygon mesh e) each vertex is associated with one or more statistical moments from the weight function associated with said vertex and from the intensity values of the voxels f) one or more display parameters are calculated for each vertex from the statistical moments associated with said vertex. 2. The method according to that described in claim 1, wherein the three-dimensional image mentioned in a) has contrast according to myocardial tissue viability. 3. The method according to that described in claim 1, wherein the three-dimensional image mentioned in a) is obtained by means of the magnetic resonance imaging technique. 4. The method according to that described in claim 1, wherein the region of interest mentioned in b) delimits the left ventricular myocardium of the heart. 5. The method according to that described in claim 1, wherein the surface mentioned in c) coincides with the inner contour of the region of interest defined in b). 6. The method according to that described in claim 1, wherein the surface mentioned in c) coincides with the outer contour of the region of interest defined in b). 7. The method according to that described in claim 1, wherein the expert mentioned in b) is an automated expert system implemented by means of a computer program. 8. The method according to that described in claim 1, wherein the expert mentioned in c) is an automated expert system implemented by means of a computer program. 9. The method according to that described in claim 1, wherein the weight function mentioned in d) uses a measure of distance between the vertices of the polygon mesh and the voxels of the image. 10. The method according to that described in claim 9, wherein the measure of distance used is the Euclidean distance between the vertices of the polygon mesh and the voxels of the image. 11. The method according to that described in claim 10, wherein the weight function assigns decreasing weights with the value of the Euclidean distance between the vertices of the polygon mesh and the voxels of the image. 12. The method according to that described in claim 1, wherein the statistical moments mentioned in e) include at least the mean. 13. The method according to that described in claim 1, wherein the statistical moments mentioned in e) include at least the variance. 14. The method according to that described in claim 1, wherein step e) further comprises calculating one or more statistical confidence measures of the moments mentioned in e). 15. The method according to that described in claim 14, wherein both the statistical moments and the confidence measures mentioned in claim 14 are used for calculating the display parameters mentioned in f). 16. The method according to that described in claim 1, wherein the display parameters mentioned in f) include at least the color used for representing each vertex of the mesh. 17. The method according to that described in claim 16, wherein the colors are calculated in the HSV (Hue-Saturation-Value) color space.