Non-linear registration of thoracic and abdominal CT and 18-FDG whole-body emission PET images: methodological study and application in clinical routine
Non-linear registration of thoracic and abdominal CT and 18-FDG whole-body emission PET images: methodological study and application in clinical routine
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发表时间：
2003-12
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通讯作者：
Oscar Camara-Rey
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作者：
Oscar Camara-Rey
本工作的目的是实现一种算法，以实现胸部和腹部CT和18-FDG全身发射PET图像的鲁棒，足够快和高质量的配准。提出的配准方法是基于结合先验解剖信息的基于强度的非线性配准算法。这种结合以一种明确的方式进行，通过初始化基于强度的配准阶段，并通过一组分层有序的解剖学特定规则分割相应的解剖表面进行配准获得解决方案。在两个配准步骤中，通过FFD模型对变形进行建模。在灰度级配准步骤中使用互信息作为相似性准则。我们设计的视觉评估方案提供的注册误差在肺、心脏、肝脏和肾脏结构上小于1cm，但在胃上高达1.5cm。
The aim of this work is to implement an algorithm to achieve a robust, fast enough and good quality registration of thoracic and abdominal CT and 18-FDG whole-body emission PET images. The proposed registration methodology is based on the incorporation of prior anatomical information in an intensity-based non-linear registration algorithm. This incorporation is performed in an explicit way, by initializing the intensity-based registration stage with the solution obtained by a registration of corresponding anatomical surfaces segmented through a hierarchically ordered set of anatomy-specific rules. Deformations are modeled in both registration steps by means of a FFD model. Mutual Information is used as the similarity criterion at the grey-level registration step. Registration errors provided by the visual assessment protocol we have designed are less than 1cm on lungs, heart, liver and kidneys structures but up to 1.5cm on the stomach.