1. A method for aiding cardiac and other surgical interventions comprising: acquiring at least one medical imaging data set representative of at least one biological sample, wherein the biological sample comprises at least one structure, and wherein each medical imaging data set comprises volume image data comprising a plurality of voxels representative of data in at least three dimensions and wherein each volume image comprises a plurality of two-dimensional image planes comprising a plurality of pixels; segmenting a first set of volume image data comprising a plurality of voxels associated with at least one structure of the biological sample to generate a surface comprising a plurality of points; selecting a second set of volume image data comprising a plurality of voxels associated with at least one characteristic of the biological sample, wherein the characteristic is a magnitude of at least one physically relevant parameter of the sample, wherein the magnitude is expressed as at least one color; selecting a plurality of spatial fiducial markers on the surface and a plurality of spatial fiducial markers on the second set of volume image data; applying at least one rigid transformation to spatially transform the second set of volume image data into a virtual spatial location comprising the segmented structure using the plurality of spatial fiducial markers; applying at least one non-rigid transformation to warp at least a portion of the second set of volume image data onto the surface; applying at least one nearest neighbor algorithm to correlate each of a plurality of points of the surface with at least one voxel associated with the second set of volume image data; and re-sampling the second set of volume image data onto the surface at each of a plurality of points based on this correlation to generate a fused image, wherein the fused image comprises a color image representative of the surface, wherein each color is indicative of at least one characteristic at that location in the biological sample.