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KMID : 1137820090300010034
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의공학회지
2009 Volume.30 No. 1 p.34 ~ p.40
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Multimodal Medical Image Registration based on Image Sub-division and Bi-linear Transformation Interpolation
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Kim Yang-Wook
Park Jun
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Abstract
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Transforms including translation and rotation are required for registering two or more images. In medical applications, different registration methods have been applied depending on the structures: for rigid bodies such as bone structures, affine transformation was widely used. In most previous research, a single transform was used for registering the whole images, which resulted in low registration accuracy especially when the degree of deformation was high between two images. In this paper, a novel registration method is introduced which is based image sub-division and bilinear interpolation of transformations. The proposed method enhanced the registration accuracy by 40% comparing with Trimmed ICP for registering color and MRI images.
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KEYWORD
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Registration, Image subdivision, Iterative Closest Point
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FullTexts / Linksout information
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Listed journal information
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