Application of demons image registration algorithms in resected breast cancer lodge localization
Marek Wodziński, Andrzej Skalski, Izabela Ciepiela, Tomasz Kuszewski, Piotr Kędzierawski · 2017
An estimation of a resected cancer lodge localization after breast tumor surgery is a challenging task during radiotherapy planning. Knowledge about the tumor lodge position and shape could improve the radiation dose distribution. However, the tumor no longer exists after the surgery, but information about its position is available in the 3D image acquired before the surgery. Therefore, image registration algorithms can be used to estimate the tumor lodge localization and potentially improve the radiotherapy planning. In this work, we evaluate different variants of a Demons image registration algorithm. The nonparametric Demons algorithms are compared to a parametric registration procedure, the B-Splines free-form deformations. The results are evaluated using a target registration error and a medical expert visual inspection. The results show that for small deformations, the diffeomorphic, symmetric Demons are the most reliable, but for larger deformations, parametric B-Splines free-form deformations provide better results. Results demonstrate that there is still a place for a specialized algorithm development.