Improvement of PV interpolation in mutual information-based medical image registration
Weiqing Chen, Shungang Hua, Zongying Ou · Computer Engineering and Applications Journal · 2010
In algorithm of medical image registration based on Mutual Information(MI),when the translation component is integer times of pixel size,conventional PV(Partial Volume) interpolation method will result in the emergency of the local extremes in mutual information registration function,which may hamper the optimization algorithm from getting accurate match parameters.An improved PV interpolation method is proposed by using Blackman-Harris windowed sinc function as kernel function.In addition,the number of concerned neighborhood pixels increases to 16 from 4.Local extremes are eliminated effectively and smooth MI function curve is acquired.The experiments show that the new method is feasible and has higher robustness.