借助图像配准评估肺叶滑动。
Lung lobar slippage assessed with the aid of image registration.
作者信息
Yin Youbing, Hoffman Eric A, Lin Ching-Long
机构信息
Department of Mechanical & Industrial Engineering The University of Iowa, Iowa City, IA 52242, USA.
出版信息
Med Image Comput Comput Assist Interv. 2010;13(Pt 2):578-85. doi: 10.1007/978-3-642-15745-5_71.
Abstract
We present a registration algorithm that can handle the discontinuity of deformation with an ultimate goal to investigate how pulmonary lobes deform to accommodate chest wall shape changes. We first show that discontinuities can exist in both normal and tangent directions. Such discontinuities are accounted for by a spatially varying diffusive regularization which restricts smoothing inside objects. Meanwhile, a distance term is combined with the sum of squared intensity differences (SSD) to explicitly match corresponding interfaces and intensity patterns. The capability of this new method is demonstrated using two-dimensional (2-D) synthetic examples with complete or incomplete "fissures" and three-dimensional (3-D) computed tomography (CT) lung datasets.
摘要
我们提出了一种能够处理变形不连续性的配准算法，其最终目标是研究肺叶如何变形以适应胸壁形状变化。我们首先表明，在法线方向和切线方向上都可能存在不连续性。这种不连续性通过空间变化的扩散正则化来处理，该正则化限制了物体内部的平滑处理。同时，一个距离项与平方强度差之和（SSD）相结合，以明确匹配相应的界面和强度模式。使用具有完整或不完整“裂隙”的二维（2-D）合成示例以及三维（3-D）计算机断层扫描（CT）肺部数据集展示了这种新方法的能力。
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