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Based On The Key Technologies Of The Network Of Medical Ct Reconstruction System

Posted on:2008-05-31Degree:MasterType:Thesis
Country:ChinaCandidate:W GuoFull Text:PDF
GTID:2208360272469349Subject:Computer applications
Abstract/Summary:PDF Full Text Request
3D reconstruction for medical images is a hot subject of medical images processing, belonging to multi-disciplinary subject, involved in computer graphics and image processing in biomedicine engineering. It is widely used in simulation of surgery, diagnoses, emulator and etc.The 3D reconstruction,image-based rendering and network are combined by a new architecture based on internet. It turns on a new way for medical visualization. The high speed servers are used to deal with CT 3D reconstruction in this architecture. And the technique of image-based rendering and internet are joined in its client. Because of this technology , the user can remotely view the result of 3D reconstruction. In addition, it is convenience for user to download the result.The implement of the 3D reconstruction in server is based on the advanced marching cubes. There are another 8 base cases are add to the algorithm. It is very successful to solve the confusion of the face in the marching cubes. On the other side, we improve the algorithm of the segmentation. The rendering in client are implemented by a new depth images-based rendering. This algorithm avoids the weakness of the single image-based rendering. It is necessary to change the reference image for the single image-based rendering. And this algorithm is not affected by the network. It can solve the problem of the 3d remote view.After functional and performance tests in server, the black spots have been removed with the advanced algorithm. It takes only 10 second for 512×512×34 CT images. The images-based rendering can reach the speed of more then 20fps in client. The result of its rendering is very nearly to the drawing of geometry-based rendering.
Keywords/Search Tags:medical image processing, marching cubes, depth images-based rendering, 3D warping method, 3D surface reconstruction, and mass data grouping
PDF Full Text Request
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