首页> 外文会议>Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE >Iterative non-rigid image registration based on Möbius transformations
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Iterative non-rigid image registration based on Möbius transformations

机译:基于Möbius变换的迭代非刚性图像配准

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The objective of this work is to present a new approach for non-rigid image registration, which is based on Möbius transformations. The Möbius transformations are conformal maps of the extended complex plane and can be expressed as composition of affine transformations and inversions. These transformations are general enough and can be obtained also by rigid motions of a sphere through 3D space and a stereographic projection to the complex plane. The equivalence between the motion of the sphere in the 3D space and the Möbius transformations is largely used in the registration model developed in this work. It allows the transformations to be parameterized with 6 parameters, each of which has clear physical meaning. In order to register image A to image B, image A is first stereographically projected on a sphere above it. A Möbius transformation is then applied by moving and rotating the sphere in the 3D space and performing a stereographic projection back to the plane. The similarity between the resulting image A'' and image B is evaluated by a dedicated cost function (the sum of squared differences of pixel intensities in A'' and B). The goal of the algorithm is to find iteratively a transformation that minimizes the cost function. The optimization procedure is over the 6 parameters, defining the position of the sphere (3 coordinates of the sphere''s center and 3 Euler angles defining the orientation) and is performed using simulated annealing. The developed registration algorithm is applied to register heart images obtained in a typical SPECT heart imaging diagnostic study. We register stress SPECT heart image to the corresponding rest SPECT heart image of the same patient. The performance of the algorithm is evaluated qualitatively (with the aid of difference images) and promising results are obtained.
机译:这项工作的目的是提出一种基于莫比乌斯变换的非刚性图像配准的新方法。莫比乌斯变换是扩展的复平面的共形图,可以表示为仿射变换和反演的组成。这些变换足够通用,也可以通过球体通过3D空间的刚性运动以及到复杂平面的立体投影来获得。 3D空间中的球体运动与Möbius变换之间的等价关系在此工作中开发的配准模型中被大量使用。它允许使用6个参数对转换进行参数化,每个参数具有明确的物理含义。为了将图像A对准图像B,首先将图像A立体投影在其上方的球体上。然后通过在3D空间中移动和旋转球体并执行回到平面的立体投影来应用Möbius变换。通过专用成本函数(A''和B中像素强度的平方差之和)评估所得图像A''和图像B之间的相似性。该算法的目标是迭代找到使成本函数最小化的变换。优化过程是在6个参数上进行的,这些参数定义了球的位置(球中心的3个坐标和3个定义方向的欧拉角),并使用模拟退火执行。开发的配准算法用于配准在典型SPECT心脏成像诊断研究中获得的心脏图像。我们将压力SPECT心脏图像注册到同一患者的相应休息SPECT心脏图像。对算法的性能进行了定性评估(借助差异图像),并获得了有希望的结果。

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