A revised quantum-behaved particle swarm optimization (RQPSO) with novel iterative equation is proposed, which uses hybrid of double exponential and normal probability distributions to sample the particle's position. The RQPSO is applied to medical image registration and the performance comparison testifies that it outperforms the PSO and QPSO algorithms on the tested image registration problems.