基于Demon算法的乳房核磁共振图像配准

Registration for Breast Magnatic Resonance Imaging Using Demon Algorithm

为了提高乳房动态核磁共振成像中不同时间点序列图像的配准速度,提出了将快速的Demon非刚性配准算法与图像强度校正相结合的乳房图像配准模型。Demon算法本身基于图像强度变化计算变形参数,因此不适于强度动态增强的图像配准。首先根据乳房组织的信号增强模型应用多项式理论校正待配准图像的强度,再应用Demon算法进行几何变形配准。实验表明该算法在精度上远优于直接使用Demon算法,在与自由形变配准算法具有几乎相同配准精度的前提下,明显提高了配准速度。

In order to improve the registration speed of breast dynamic contrast enhancement magnetic resonance images （DCE MRI） which are obtained at different time points,this paper presented a registration model for breast DCE MRI using fast demon non-rigid registration algorithm with intensity correction. Original demon is hased on intensity change to get deformation parameters and unsuitable for breast DCE MRL Intensity correction between pre and post contrast images based on polynomial was suggested to overcome the problem according to the signal enhancement of the breast model. The experiment results show that the presented approach performs better than only demon algorithm and is re- markably faster than free form deformation non-rigid registration algorithm with nearly same precision.