A FEATURE MATCHING-BASED APPROACH TO DEFORMATION FIELDS MEASUREMENT FROM MR IMAGES OF NON-RIGID OBJECT
A FEATURE MATCHING-BASED APPROACH TO DEFORMATION FIELDS MEASUREMENT FROM MR IMAGES OF NON-RIGID OBJECT
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发表时间：
2007
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通讯作者：
Penglin Zhang;S. Hirai;Kazumi Endo
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作者：
Penglin Zhang;S. Hirai;Kazumi Endo
虽然已经实现了各种不同的算法，用于从磁共振（MR）图像估计生物组织的变形场，但是很少有在特征跟踪领域的尝试被报道。本文提出了一种基于局部特征跟踪的生物组织形变场测量方法。首先，我们使用相关分数（cs）为基础的方法来获得一个候选匹配集。其次，使用松弛技术消除匹配的歧义。第三，在Delaunay三角网内用线性插值方法计算密集形变场.为了测试我们的方法的有效性，我们将所提出的方法应用于志愿者小腿的MR图像。此外，还采用选定检查点的反向移动来评价结果的可靠性和准确性。初步实验结果表明，
Though a variety of difierent algorithms have been implemented for estima- tion of the deformation flelds of biological tissue from magnetic resonance (MR) images, few attempts in feature tracking areas have been reported. In this study, we propose a method to measure deformation flelds of biological tissues based on local feature track- ing. First, we use correlation score (cs) based method to obtain a candidate matches set. Next, relaxation technique is used to disambiguate matches. Third, the dense deforma- tion flelds is calculated using linear interpolation approach within Delaunay triangles net. To test the validity of our approach, we applied the proposed approach to MR images of a volunteer's calf. Moreover, the reverse movement of selected check points was used to evaluate the reliability and accuracy of the result. Preliminary experiment results of this