使用多分辨率小波表示法对弹性体进行表面对齐。

Surface alignment of an elastic body using a multiresolution wavelet representation.

作者信息

Gefen Smadar, Tretiak Oleh, Bertrand Louise, Rosen Glenn D, Nissanov Jonathan

机构信息

Computer Vision Laboratory for Vertebrate Brain Mapping, Department of Neurobiology and Anatomy, Drexel College of Medicine, Drexel University, Philadelphia, PA 19129-1096, USA.

出版信息

IEEE Trans Biomed Eng. 2004 Jul;51(7):1230-41. doi: 10.1109/TBME.2004.827258.

DOI:10.1109/TBME.2004.827258

PMID:15248539

Abstract

An algorithm for nonlinear registration of an elastic body is developed. Surfaces (outlines) of known anatomic structures are used to align all other (internal) points. The deformation field is represented with a multiresolution wavelet expansion and is modeled by the partial differential equations of linear elasticity. A hierarchical approach that reduces algorithm complexity is adopted. The performance of the algorithm is evaluated by two-dimensional alignment of sections from mouse brains located in the olfactory bulbs. The registration algorithm was guided by manually delineated contours of a subset of brain structures and validated based on another subset of brain structures. The wavelet alignment algorithm produced a twofold to fivefold improvement in accuracy over an affine (linear) alignment algorithm.

摘要

开发了一种用于弹性体非线性配准的算法。利用已知解剖结构的表面（轮廓）来对齐所有其他（内部）点。变形场用多分辨率小波展开表示，并由线性弹性的偏微分方程建模。采用了一种降低算法复杂度的分层方法。通过对位于嗅球的小鼠脑切片进行二维对齐来评估该算法的性能。配准算法由手动勾勒的一部分脑结构轮廓引导，并基于另一部分脑结构进行验证。与仿射（线性）配准算法相比，小波对齐算法的精度提高了两倍到五倍。