Two clustering techniques of myocardium using C-SENC images: A comparison with multi-stage clustering

Simultaneous imaging of the myocardial function and viability is possible using the C-SENC acquisition technique previously proposed. The technique produces three gray-scale images that are combined to produce an image containing both function and viability information. In this paper, two techniques for combining the C-SENC images based on image clustering are proposed and compared. The first technique uses the pixel intensity in the 3 images to generate and cluster a 3D vector space. The second technique applies the clustering algorithm to the individual images then, the resulting clustered images are combined to produce a color image carrying the function and viability information. Finally, a comparison has been made with the multi-stage clustering technique previously proposed.