A Multi-Similarity Fusion Feature–Point Matching Approach for Measuring Internal Deformation Fields Using Magnetic Resonance Volumetric Images of Biological Tissues
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通讯作者 ： 张绪冰
全部作者 ： Penglin Zhang, Xubing Zhang
发表刊物 ： Journal of Computational and Theoretical Nanoscience
文献类型 ： J
关键字 ： BIO-TISSUES; INTERNAL DEFORMATION FIELDS; MULTI-SIMILARITIES FUSION; RESONANCE VOLUMETRIC IMAGERY
摘要 ： Various feature–point matching approaches have been reported in computer vision. However, few feature–point matching approaches employed on images from non-rigid and non-uniform biological tissues have been reported. The present study investigates the interior deformation field measurement of complex biological tissues from three-dimensional magnetic resonance (MR) volumetric images. To improve the reliability of the matching, we propose the fusion of three different similarity measurement methods. The basic algorithm of the three different similarity measurement methods and their fusion to ge
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