A Comparative Analysis of Similarity Mapping and Eigenimaging as Applied to Dynamic MR Imaging of a Low Grade Astrocytoma

This paper compares the abilities of similarity mapping and eigenimaging for the purpose of identifying (segmenting) different image structures in dynamic MR imaging. As an illustrative example a case of dynamic images with a low grade astrocytoma was chosen. It was found that the similarity mapping was more successful than eigenimaging in determining the extent and position of a low grade astrocytoma. Also, similarity mapping was able to identify another region with a different and uncorrelated temporal pattern that was later diagnosed as a cyst.