Abstract: A novel adaptive variable step-size constant module medical CT image blind equalization algorithm is proposed.The process of image restoration transformed by a linear operation is equivalent to one dimensional blind equalization.The constant modulus blind equalization cost function applied to medical CT image is founded.The mean square error is utilized as step-size control factor to speed up the convergence and improve the performance of the algorithm.Computer simulations show that new algorithm improves peak signal to noise ratio，restoration effects and efficiency of operations，and speeds up the convergence speed.

Key words: blind equalization, constant module algorithm, CT image, mean square error, variable step-size

摘要： 提出一种基于均方误差控制的自适应变步长恒模医学CT图像盲均衡算法，利用线性变换将图像的恢复过程等效为一维盲均衡运算，建立了降维处理的医学CT图像盲均衡恒模代价函数，采用信号的均方误差作为步长控制因子，加快算法收敛，改善恒模医学CT图像盲均衡算法性能。仿真结果验证了算法的有效性，新算法改善了峰值信噪比和恢复效果，提高了算法收敛速度。

关键词: 盲均衡, 恒模算法, CT图像, 均方误差, 时变步长