| Summary: | 碩士 === 國立臺灣科技大學 === 材料科學與工程系 === 101 === With the development of digital medical images, after special analysis and appropriate processing of medical images based on computer technology, the specific tissues or foci can be reserved or highlighted. As a result, the doctors can make correct diagnosis and plan surgical approach before operation, and an image interface for surgical positioning is provided in operation. However, a single type of image cannot provide adequate information, thus it is important to fuse diversified medical images.
This study processed two kinds of medical images with different characteristics of head, computed tomography and magnetic resonance images. First, the computed tomography was reconstructed by using Marching Cubes, and the magnetic resonance image was reconstructed by using magnetic resonance image. Afterwards, the Iterative Closest Point was used for image registration, and then the Mutual Information was used to fuse the two kinds of 3D images. The distances of axial slice, sagittal slice and coronal slice of the fused 3D image were measured by using simulation software, so that the doctors could know the spatial location of foci accurately before operation. The proposed method can assist the doctors in pre-operational planning, thus increasing the success rate of operation.
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