Dissertation
Dissertation > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device

Research on Several Issues in Medical-image Segmentation and Archiving

Author KangXiaoDong
Tutor HeZuoLian
School Tianjin University
Course Applied Computer Technology
Keywords Medical-image Segmentation Ant Colony Algorithm Deformable Model Snake Picture Archiving and Communication Systems
CLC TP391.41
Type PhD thesis
Year 2008
Downloads 542
Quotes 2
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One of the most important basic processes of dealing with medical image is to segment it reasonably. Some artificial-life-based image segmentation methods, such as Ant Colony Algorithm and deformable model, are usually applied to medical image segmentation.This thesis re-describes the ant pheromone releasing and its transferring route. In this thesis, a fuzzy connectedness of image is introduced to the process of ant’s seeking for food and, farther, transferred to the target food of art’s seeking for food. Thus, the method for the segmentation of medical image based on ant colony algorithm is improved in this thesis.By introducing the Live Wire to watershed medical-image segmentation, the author modifies the traditional live wire algorithm by redefining the distance of the neighborhood, using its pixel, gray-scale mean and gray-scale variance. Then a new connected graph is constructed by the computer, which combines the over- small-regions that is caused by over-segmenting to medical image. By appended gray-scale model and using the information of partial statistic and information of the distance to the image, which are concerned with the objectives and background that are included in the lines of segmented tomography image, the snake that lines in the neighbored and segmentation-waited tomography image can be led to converge to the factual boundary rapidly and accurately. The author also presents a new method for solving the problem of model’s crossing edge based on T-snake model. While the model is in crossing edge, we use statistical features of model’s interior region in the segmented tomography image, get the interior points by using region growing segmentation and reconstruct the parametric model In order to ensure the model to be deformed to the right edge.On the basis of applying PACS and considering the technical characteristics of different types of physical archiving medium, this thesis uses multilayer archiving configure and using suppositional equipment manager shields the physical differences between archiving mediums. Aiming at the distributing characteristics of medical-image transferring, the author adopts several image information attemperring strategies and concert algorithm, which is based on the spacing ratio between minimum frequency and time.Besides, the contrast testing is made separately for the result of improved medical-image segmentation in this thesis.

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