Multiresolution Elastic Medical Image Registration in Standard Intensity Scale

Ulas Bagci, L. Bai
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引用次数: 18

Abstract

Medical image registration is a difficult problem. Not only a registration algorithm needs to capture both large and small scale image deformations, it also has to deal with global and local image intensity variations. In this paper we describe a new multiresolution elastic image registration method that challenges these difficulties in image registration. To capture large and small scale image deformations, we use both global and local affine transformation algorithms. To address global and local image intensity variations, we apply an image intensity standardization algorithm to correct image intensity variations. This transforms image intensities into a standard intensity scale, which allows highly accurate registration of medical images.
标准强度尺度下的多分辨率弹性医学图像配准
医学图像配准是一个难点问题。配准算法不仅需要捕获大尺度和小尺度的图像变形,还需要处理全局和局部图像强度变化。本文提出了一种新的多分辨率弹性图像配准方法,解决了图像配准中存在的问题。为了捕获大尺度和小尺度的图像变形,我们使用全局和局部仿射变换算法。为了解决全局和局部图像强度变化,我们应用图像强度标准化算法来纠正图像强度变化。这将图像强度转换为标准强度标度,从而实现医学图像的高精度配准。
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