Deformation image registration (DIR) is a key process of contour derivation and dose accumulation in adaptive radiotherapy (ART).This study compares the changes of contour derivation and dose accumulation in the process of adaptive radiotherapy with three different deformation registration algorithms.The radiotherapy imaging data images of patients with head and neck cancer were selected for this study.After rigid registration,B-spline elastic registration and LCC-Demons registration algorithms were used.The B-spline elastic algorithm studied two optimization indexes:normalization Cross-correlation,normalized cross-correlation combined with bending energy penalty (BEP) regularization.Dose evaluation uses dose parameters D95,Dmin,Dmean,Dmax and uniformity index (HI) to evaluate the difference between cumulative dose and initial dose.Geometric evaluation uses Dice correlation coefficient (DCS) and Hausdorff distance (HD) to evaluate the degree of overlap between volumes.After experiments,the Dice coefficients of the planning target volume (PTV) target area,left parotid gland and right parotid gland obtained by geometric evaluation are respectively 0.82±0.07,0.83±0.07,0.86±0.08 in the two optimization algorithms of B-spline elastic registration and the LCC-Demons algorithm.Among them,the Dice coefficient obtained under the LCC-Demons algorithm reached the maximum value of 0.91, and the obtained Hausdorff distances were all between 1 and 3 mm.The DSC overlap result and the indicated deviation distance were both within the clinically acceptable range.For dose evaluation,the corresponding HI values are:1.089,1.082,1.081,LCC-Demons also reached the minimum value of 1.081.In this experiment,LCC-demons achieved good results in contour derivation and dose mapping,and it is also clinical it provides a certain reference for the evaluation of registration quality in the environment.