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Research on Feature-driven Image Registration and Image Mosaic of CT Images

Author: CaoXinHua
Tutor: FengHuanQing；LiChuanFu
School: University of Science and Technology of China
Course: Biomedical Engineering
Keywords: Medical Image Registration Medical image stitching Thin-plate spline interpolation SIFT algorithm RANSAC algorithm
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 191
Quote: 2
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Abstract


Medical image registration is the current hot research field of medical image and study difficulties, has important implications in the clinical diagnosis and treatment. Medical image registration refers to looking for one (or series) of the space transform of a medical image, to make it consistent with the corresponding point on the other a medical image in the spatial coordinate reached. Many scholars have proposed many medical image registration algorithm, they can be largely divided into image registration algorithm based on gray-scale-driven image registration algorithm based on model-driven and integrated algorithm. Check the parts is far greater than the area of ??the image detector contradictions in the medical imaging process, tend to have, and need to be divided into the parts shot several times, and then stitching together according to certain rules, which is a medical image stitching. Medical image mosaic has a broad application prospects in the field of medicine. Can solve medical image acquisition process, due to the limitations of vision and can not get the complete image to provide a better basis for diagnosis. The typical medical image stitching algorithm transform domain-based method, the image gray-based methods and feature-based approach. With the continuous development of medical imaging technology, computer science and technology, the computer intelligent medical image diagnosis is one of the most important goals of the medical image processing and analysis. Computer of intelligent diagnostic or computer-aided diagnosis, comparability and completeness of the information is crucial to achieve, which relates to the technology is the image registration and image stitching technology. Medical image registration and medical image mosaic is a hot and difficult medical image. In this paper, to build demand based on high-resolution CT images of the brain disease aided diagnosis system to study the technology-driven image registration based on feature points, and image stitching techniques discussed. Focuses on automatic extraction methods in research and analysis of feature points based on the Scale Invariant Feature Transform (SIFT) algorithm to identify the feature points of the two CT images match, to achieve the automatic matching of feature points, based on the feature points The drive image registration and image stitching pave. Further research driven image registration method based on feature points matching algorithm based on model-driven, thin-plate spline interpolation method to achieve the correct alignment of the two brain CT image, and regional characteristics vector remove incorrect matches point method. The paper also focuses on feature-based medical image stitching method gives the detailed algorithm and implementation steps correctly spliced ??two medical images, and using statistical slope up law and RANSAC method to remove incorrect match The point of the program to ensure the quality of the image that are spliced ??out.

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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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