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使用加权魔鬼算法的全身非刚性CT-PET配准

WHOLE BODY NONRIGID CT-PET REGISTRATION USING WEIGHTED DEMONS.

作者信息

Suh J W, Kwon Oh-K, Scheinost D, Sinusas A J, Cline Gary W, Papademetris X

机构信息

Department of Radiology, University of Pennsylvania.

出版信息

Proc IEEE Int Symp Biomed Imaging. 2011 Mar 30:1223-1226. doi: 10.1109/isbi.2011.5872622.

DOI:10.1109/isbi.2011.5872622

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3557845/

Abstract

We present a new registration method for whole-body rat computed tomography (CT) image and positron emission tomography (PET) images using a weighted demons algorithm. The CT and PET images are acquired in separate scanners at different times and the inherent differences in the imaging protocols produced significant nonrigid changes between the two acquisitions in addition to heterogeneous image characteristics. In this situation, we utilized both the transmission-PET and the emission-PET images in the deformable registration process emphasizing particular regions of the moving transmission-PET image using the emission-PET image. We validated our results with nine rat image sets using M-Hausdorff distance similarity measure. We demonstrate improved performance compared to standard methods such as Demons and normalized mutual information-based non-rigid FFD registration.

摘要

我们提出了一种使用加权恶魔算法对大鼠全身计算机断层扫描（CT）图像和正电子发射断层扫描（PET）图像进行配准的新方法。CT和PET图像在不同时间通过不同的扫描仪采集，成像协议的固有差异除了导致图像特征不均匀外，还在两次采集之间产生了显著的非刚性变化。在这种情况下，我们在可变形配准过程中同时利用了透射式PET图像和发射式PET图像，使用发射式PET图像来突出移动的透射式PET图像的特定区域。我们使用M-豪斯多夫距离相似性度量对九个大鼠图像集的结果进行了验证。与诸如恶魔算法和基于归一化互信息的非刚性自由形式变形（FFD）配准等标准方法相比，我们展示了更好的性能。