Comparison of image registration similarity measures for an abdominal organ segmentation framework
Ehsan Golkar, Ashrani Aizzuddin Abd. Rahni, Riza Sulaiman · 2014
Automated segmentation is a primary step in medical diagnosis applications. This paper presents an image segmentation propagation method via image registration. Therefore, segmentation propagation accuracy depends on the accuracy of image registration. Three similarity measures were considered, namely Sum of Squared (Intensity) Differences (SSD), Mutual Information (MI) and Cross Correlation (CC) and their results were compared to each other. The results shows that there are slight differences between the use of these different similarity measures, however, the results are similar in the evaluation using MR images.