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Microscopic neural image registration based on the structure of mitochondria
Cao HW(曹会文); Han H(韩华); Rao Q(饶强); Xiao C(肖驰); Chen X(陈曦); Chen X(陈曦)
Conference NameSPIE Medical Imaging
Conference Date2017-02-10至2017-02-16
Conference PlaceOrlando Florida
AbstractMicroscopic image registration is a key component of the neural structure reconstruction with serial sections of neural tissue. The goal of microscopic neural image registration is to recover the 3D continuity and geometrical properties of specimen. During image registration, various distortions need to be corrected, including image rotation, translation, tissue deformation, which come from the procedure of sample cutting, staining and imaging. Furthermore, there is only certain similarity between adjacent sections, and the degree of similarity depends on local structure of the tissue and the thickness of the sections. These factors make the microscopic neural image registration a challenging problem.
To tackle the difficulty of corresponding landmarks extraction, we introduce a novel image registration method for Scanning Electron Microscopy (SEM) images of serial neural tissue sections based on the structure of mitochondria. The ellipsoidal shape of mitochondria ensures that the same mitochondria has similar shape between adjacent sections, and its characteristic of broad distribution in the neural tissue guarantees that landmarks based on the mitochondria distributed widely in the image. The proposed image registration method contains three parts: landmarks extraction between adjacent sections, corresponding landmarks matching and image deformation based on the correspondences. We demonstrate the performance of our method with SEM images of drosophila brain.
KeywordNeural Image Registration Scanning Electron Microscopy (Sem) Mitochondria Structure Landmarks
Document Type会议论文
Corresponding AuthorChen X(陈曦)
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Cao HW,Han H,Rao Q,et al. Microscopic neural image registration based on the structure of mitochondria[C],2017.
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