Abstract #3304

Similarity based fusion of multiple Regions of Interests for MR sequence evaluation

Michael Goetz¹, Christian Weber¹, and Klaus H. Maier-Hein¹

¹Medical Image Computing, German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany

To compare the information content of different MR sequences often regions of interests (ROI) are used. A way to avoid observer-dependencies is to use ROIs from different observer, but this leads to the question how to fuse them. We propose a new method to combine the information obtained by multiple ROIs depending on their similarity, making our method less sensitive to outlier. We evaluate our method by comparing the results obtained from the traditional merging method with the proposed algorithm. The results indicate that our method can be a valuable extension to ROI-based, multi-observer studies.

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