Graduate School of Medicine,
Japan
Research Article
Assessment of Similarity Measures for Accurate Deformable Image Registration
Author(s): Yuji Yaegashi, Kunihiko Tateoka, Kazunori Fujimoto, Takuya Nakazawa, Yuichi Saito, Tadanori Abe, Masaki Yano and Koichi SakataYuji Yaegashi, Kunihiko Tateoka, Kazunori Fujimoto, Takuya Nakazawa, Yuichi Saito, Tadanori Abe, Masaki Yano and Koichi Sakata
Purpose: Deformable image registration is widely used in radiation therapy applications. There are several different algorithms for deformable image registration. The purpose of this study was to evaluate the optimal similarity measures needed to obtain accurate deformable image registration by using a phantom.
Methods: To evaluate the optimal similarity measures for the deformable image registration, we compared several similarity measures, including the normalized correlation coefficient, the mutual information, the dice similarity coefficient, and the Tanimoto coefficient. In this study, the mutual information was normalized to have a value of 1 when there is complete correspondence between the images in order to compare it with other similarity measures. First, a reference image was acquired with the phantom located in the center of the field of view of a computed tomograp.. Read More»
DOI:
10.4172/2155-9619.1000137
Nuclear Medicine & Radiation Therapy received 706 citations as per Google Scholar report