Hybrid rigid and non-rigid registration algorithm for alignment of intra-subject thoracic and abdominal images

Hybrid rigid and non-rigid registration algorithm for alignment of intra-subject thoracic and abdominal images
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用于对齐受试者体内胸部和腹部图像的混合刚性和非刚性配准算法

DOI:
10.1179/136821910x12863757400169
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发表时间:
2011-06
期刊:
The Imaging Science Journal
影响因子:
--
通讯作者:
Wufan Chen
Wufan Chen
中科院分区:
其他
文献类型:
--
作者:
Zhentai Lu;Wei Yang;Qianjin Feng;Wufan Chen

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提出了一种刚性与非刚性混合配准算法,用于对同一受试者在不同时间扫描的胸部和腹部CT图像进行配准。首先分别从两幅不同时间的CT图像上对骨结构进行分割。然后,使用软对应匹配算法根据两幅图像的边界点对分割后的骨骼结构进行配准,并对每个骨骼结构进行刚性变换约束。在估计骨骼结构对应关系的基础上,利用薄板样条插值技术对整个图像中的密集变形进行插值。为了提高图像中软组织的对中性,采用一种基于互信息归一化的b样条配准算法对软组织进行迭代细化配准,同时保持各骨结构的刚性变换。重复这个配准细化过程,直到算法收敛。所提出的混合配准算法已应用于临床数据,并通过两位临床放射科医生测量了非常令人鼓舞的结果。
Abstract A hybrid rigid and non-rigid registration algorithm has been presented to register thoracic and abdominal CT images of the same subject scanned at different times. The bony structures are first segmented from two different time CT images, respectively. Then, the segmented bony structures in the two respective images are registered based on their boundary points using a soft correspondence matching algorithm, with a rigid transformation constraint on each bony structure. With estimated correspondences in bony structures, the dense deformations in the entire images are interpolated by a thin plate spline (TPS) interpolation technique. To improve the alignment of soft tissues in the images as well, a normalised mutual information based B-spline registration algorithm is used to iteratively refine the registration of soft tissues, and at the same time keep the rigid transformation for each bony structure. This registration refinement procedure is repeated until the algorithm converges. The proposed hybrid registration algorithm has been applied to the clinical data with very encouraging results as measured by two clinical radiologists.
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