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首页> 外文期刊>Computational intelligence and neuroscience >Composite Match Index with Application of Interior Deformation Field Measurement from Magnetic Resonance Volumetric Images of Human Tissues
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Composite Match Index with Application of Interior Deformation Field Measurement from Magnetic Resonance Volumetric Images of Human Tissues

机译:利用人体组织的磁共振体积图像测量内部变形场的复合匹配指数

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Whereas a variety of different feature-point matching approaches have been reported in computer vision, few feature-point matching approaches employed in images from nonrigid, nonuniform human tissues have been reported. The present work is concerned with interior deformation field measurement of complex human tissues from three-dimensional magnetic resonance (MR) volumetric images. To improve the reliability of matching results, this paper proposes composite match index (CMI) as the foundation of multimethod fusion methods to increase the reliability of these various methods. Thereinto, we discuss the definition, components, and weight determination of CMI. To test the validity of the proposed approach, it is applied to actual MR volumetric images obtained from a volunteer’s calf. The main result is consistent with the actual condition.
机译:尽管在计算机视觉中已经报道了多种不同的特征点匹配方法,但是已经报道了在来自非刚性,不均匀的人体组织的图像中采用的特征点匹配方法很少。本工作涉及从三维磁共振(MR)体积图像对复杂的人体组织进行内部变形场测量。为了提高匹配结果的可靠性,本文提出了复合匹配指数(CMI)作为多方法融合方法的基础,以提高各种方法的可靠性。其中,我们讨论了CMI的定义,组成和重量确定。为了测试该方法的有效性,将其应用于从志愿者小腿获得的实际MR容积图像。主要结果与实际情况相符。

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