研究了基于互信息测度的医学图像配准方法,提出了一种优化算法的改进。目的旨在于解决配准的精度和在基于互信息配准过程中的效率问题。提出的优化算法是将拟牛顿方法运用于多模医学图像配准中。实验结果说明这种改进的方法能有效提高配准的精度和效率问题,并得到好的实验效果。-Abstract: This paper presents a novel Optimized method for medical image registration, the purpose is to solve problems, which are the registration precision and huge calculation in medical images registration based on mutual information. We present a novel optimized method, called Quasi-Newton (BFGS algorithm), for multi-modal medical image registration. Experimental results show that the method, which develops precision of registration, can solve the problem of huge calculation, and achieve good effects.