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Algorithm and Implementation Based on Non-rigid Medical Image Registration

Author: SunZuo
Tutor: ZhangZhenChuan
School: Northeastern University
Course: Computer technology
Keywords: Medical image Registration Non-rigid Mutual Information
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 14
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Abstract


Medical image fusion is a field of study of contemporary information science, computer technology and medical imaging science intersect, it is a cutting-edge research focus in medical image processing disciplines. Image fusion technology include the following aspects: image preprocessing, to create a fused image and fused image quality evaluation. The image pretreatment including denoising, image enhancement and image registration several steps, image registration is the most critical step in the pre-treatment is directly related to the quality of the fused image. In the field of medical image registration, based on rigid registration method at this stage relatively already quite mature, human tissues and organs is a non-rigid, rigid assumption in many cases not related to image processing as a precondition. Due to the nature of the deformation in medical image non-rigid, non-linear, in order to deal with the clinical image, you need to use a non-rigid registration method, the multi-mode medical image non-rigid registration problems become the image areas of a research hot and difficult. This paper studies the multimodal medical image non-rigid registration algorithms and implementations. Pyramid search algorithm for the traditional mean there is the starting point indefinite Search lack of constraint. LOG operator edge extraction using improved image and the edge pyramid image set. Fast image matching algorithm is built on the edge of the improved registration algorithm, the first match on the edge of the low-resolution image, and then progressively pushed eventual realization of the full resolution image matching. The experimental results show that the algorithm significantly improve matching efficiency than the traditional edge registration algorithm saves about 30% of the time. This paper first outlines the background of the medical image registration, research content and applications development status; then provided an overview image registration techniques, including pretreatment, registration classification, the basic alignment optimization algorithms such as technology and image registration ideas and methods; propose a complete set of image registration and registration algorithm based on wavelet decomposition pyramid scheme. Wavelet decomposition here features extracted by the edge detection, normalized mutual information space transform method and an improved edge registration method; final analysis of the mutual information space transform algorithm relates to the maximum mutual information algorithm, and the selection of the marked point, etc. and eventually Windows systems developed in Visual C 6.0-based medical image registration software.

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