1. 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, the method comprising: creating a 3D map of suspicion with a detection computer from the previously acquired medical images, wherein the 3D map of suspicion comprises a 3D matrix of voxels whose values indicate a degree of suspicion that shows whether the corresponding regions of the tissue matrix are suspect; generating a 2D map of suspicion with an implementing computer 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, wherein the 2D map of suspicion comprises a 2D matrix of pixels whose values indicate a degree of suspicion that is determined from the corresponding degree of suspicion from the 3D map of suspicion; generating a volume with the implementing computer from a previously obtained 3D image and from the 3D map of suspicion, wherein the 3D image comprises a matrix of voxels whose values are obtained from intensities of the previously acquired images, and wherein the volume comprises a matrix of voxels whose values are determined by multiplying the values of the corresponding voxels in the 3D map of suspicion and those in the 3D image; generating an image of suspect radiological signs with the implementing computer by projecting the volume onto a plane from the point reproducing the acquisition conditions of the first image, wherein the image of suspect radiological signs comprises a matrix of pixels, and wherein the value of one pixel of the image of suspect radiological signs is obtained by applying an aggregation operator to the values of voxels of the volume located on a straight line joining the point reproducing the acquisition conditions of the first image and the pixel, such that: 
 π( Pix P1 )=⊥ iεL π( Vox V1 i ), wherein P 1 is the image of suspect radiological signs, Pix P1 is a pixel in the image of suspect radiological signs, π(Pix P1 ) is the value of one pixel of suspect radiological signs, V 1 is the volume, Vox V1 i are voxels of the volume and π(Vox V1 i ) are values of the voxels of the volume; and generating a final 2D image of the tissue matrix with the implementing computer from the first image and/or from the 2D map of suspicion, wherein the final 2D image highlights suspect regions in the tissue matrix.