Gefen Smadar, Tretiak Oleh, Nissanov Jonathan
Computer Vision Laboratory for Vertebrate Brain Mapping, Department of Neurobiology and Anatomy, Drexel University College of Medicine, 2900 Queen Lane, Philadelphia, PA 19129-1096, USA.
IEEE Trans Med Imaging. 2003 Nov;22(11):1480-9. doi: 10.1109/TMI.2003.819280.
A three-dimensional wavelet-based algorithm for nonlinear registration of an elastic body model of the brain is developed. Surfaces of external and internal anatomic brain structures are used to guide alignment. The deformation field is represented with a multiresolution wavelet expansion and is modeled by the partial differential equations of linear elasticity. A progressive estimation of the registration parameters and the usage of an adaptive distance map reduce algorithm complexity, thereby providing computational flexibility that allows mapping of large, high resolution datasets. The performance of the algorithm was evaluated on rat brains. The wavelet-based registration method yielded a twofold improvement over affine registration.
开发了一种基于三维小波的用于大脑弹性体模型非线性配准的算法。利用大脑外部和内部解剖结构的表面来指导对齐。变形场用多分辨率小波展开表示,并由线性弹性偏微分方程建模。配准参数的渐进估计和自适应距离映射约简算法的使用降低了算法复杂度,从而提供了计算灵活性,允许对大型高分辨率数据集进行映射。该算法的性能在大鼠大脑上进行了评估。基于小波的配准方法比仿射配准有两倍的改进。