Rueckert D, Sonoda L I, Hayes C, Hill D L, Leach M O, Hawkes D J
Division of Radiological Sciences and Medical Engineering, Guy's, King's, and St. Thomas' School of Medicine, King's College London, Guy's Hospital, London, UK.
IEEE Trans Med Imaging. 1999 Aug;18(8):712-21. doi: 10.1109/42.796284.
In this paper we present a new approach for the nonrigid registration of contrast-enhanced breast MRI. A hierarchical transformation model of the motion of the breast has been developed. The global motion of the breast is modeled by an affine transformation while the local breast motion is described by a free-form deformation (FFD) based on B-splines. Normalized mutual information is used as a voxel-based similarity measure which is insensitive to intensity changes as a result of the contrast enhancement. Registration is achieved by minimizing a cost function, which represents a combination of the cost associated with the smoothness of the transformation and the cost associated with the image similarity. The algorithm has been applied to the fully automated registration of three-dimensional (3-D) breast MRI in volunteers and patients. In particular, we have compared the results of the proposed nonrigid registration algorithm to those obtained using rigid and affine registration techniques. The results clearly indicate that the nonrigid registration algorithm is much better able to recover the motion and deformation of the breast than rigid or affine registration algorithms.
在本文中,我们提出了一种用于对比增强乳腺磁共振成像(MRI)非刚性配准的新方法。已开发出一种乳腺运动的分层变换模型。乳腺的全局运动由仿射变换建模,而局部乳腺运动则通过基于B样条的自由形式变形(FFD)来描述。归一化互信息用作基于体素的相似性度量,它对因对比增强导致的强度变化不敏感。通过最小化一个代价函数来实现配准,该代价函数表示与变换平滑度相关的代价和与图像相似性相关的代价的组合。该算法已应用于志愿者和患者的三维(3-D)乳腺MRI的全自动配准。特别是,我们将所提出的非刚性配准算法的结果与使用刚性和仿射配准技术获得的结果进行了比较。结果清楚地表明,非刚性配准算法比刚性或仿射配准算法更能恢复乳腺的运动和变形。