A non-linear registration method for DCE-MRI and DCE-CT comparison in bladder tumors

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2008-05-14 DOI:10.1109/ISBI.2008.4541191

K. Passera, L. Mainardi, D. McGrath, J. Naish, D. Buckley, S. Cheung, Y. Watson, A. Caunce, G. Buonaccorsi, J. Logue, Marcus B. Taylor, C. Taylor, J. Waterton, H. Young, G. Parker

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引用次数: 7

Abstract

The objective of this work is to examine the feasibility of a method to register dynamic contrast enhanced computed X-ray tomography (DCE-CT) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) datasets in order to make possible the comparison of parametric maps generated from tracer kinetic modeling. First, the CT and MR dynamic sets were matched temporally using a cross-correlation maximization approach. The registration was then performed through an affine transformation followed by a non-linear registration using free-form deformations (FFDs) based on B-splines. This was determined from the CT-MR pair that maximized Normalized Mutual Information (NMI). Then the 'extended Kety' model was fitted to both CT and MR and Ktrans, Ve and vp parameters were obtained. The method was applied to 5 patients with bladder tumors. After registration, the overlap matching between CT and MR volume of interest (VOI) was on average 91%.

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膀胱肿瘤DCE-MRI与DCE-CT比较的非线性配准方法

这项工作的目的是研究一种注册动态对比增强计算机x射线断层扫描(DCE-CT)和动态对比增强磁共振成像(DCE-MRI)数据集的方法的可行性，以便对示踪剂动力学建模产生的参数图进行比较。首先，使用互相关最大化方法对CT和MR动态集进行时间匹配。然后通过仿射变换进行配准，然后使用基于b样条的自由形式变形(ffd)进行非线性配准。这是由最大标准化互信息(NMI)的CT-MR对确定的。然后对CT和MR进行“扩展Kety”模型拟合，得到Ktrans、Ve和vp参数。该方法应用于5例膀胱肿瘤患者。经配准后，CT与MR感兴趣体积(VOI)的重叠匹配平均为91%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

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