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Bioluminescence Tomography Based on Bilateral Weight Laplace method for In vivo Morphological Imaging of Glioma

机译:基于双边重量拉普拉斯方法的生物发光层析成像在胶质瘤的体内形态学成像中的应用

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摘要

The development of Bioluminescence Tomography (BLT) has allowed the quantitative three dimension (3D) whole bodyimaging and non-invasive study of biological behavior of cancer. However, the ill-posed problem of BLT reconstructionlimits the quality of reconstruction result. In this work, we proposed a Bilateral Weight Laplace (BWL) method thatutilizes a non-local Laplace regularization to improve the imaging quality of bioluminescence tomography reconstruction.The non-local Laplace regularization was constructed by spatial weight and range weight to penalize theneighborhood-variance of reconstructed source density in both spatial and range domain. To evaluate the performance ofBWL method, both dual-source BLT reconstruction experiment in simulation data and in vivo BLT reconstruction inorthotopic glioma mouse model were designed. Furthermore, fast iterative shrinkage/threshold (FIST) method andLaplace method were utilized to compare with BWL. Both dual-source experiment and in vivo experiment demonstratethat the construction results of BWL method provide more accurate tumor position (BCE = 0.37mm in dual-sourceexperiment) and better tumor morphological information.
机译:生物发光体层摄影术(BLT)的发展已经实现了对人体的三维三维成像(3D)成像,成像和无创性生物学行为的研究。但是,BLT重建的不适定问题限制了重建结果的质量。在这项工作中,我们提出了一种双向权重拉普拉斯(BWL)方法,它利用非局部拉普拉斯正则化来提高生物发光层析成像重建的成像质量。\ r \ n非局部拉普拉斯正则化是通过空间权重和范围权重,以惩罚空间域和范围域中重构源密度的\ r \邻里方差。为了评估\ r \ nBWL方法的性能,设计了模拟数据中的双源BLT重建实验和\ r \正位神经胶质瘤小鼠模型中的体内BLT重建。此外,利用快速迭代收缩/阈值(FIST)方法和\ r \ nLaplace方法与BWL进行比较。双源实验和体内实验均证明,BWL方法的构建结果可提供更准确的肿瘤位置(双源实验中BCE = 0.37mm)和更好的肿瘤形态学信息。

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  • 会议地点 1605-7422;2410-9045
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    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China The University of Chinese Academy of Sciences, Beijing, 100049, China;

    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China The University of Chinese Academy of Sciences, Beijing, 100049, China kun.wang@ia.ac.cn, phone 86 82618465-904, fax 86 82618465-904;

    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China The University of Chinese Academy of Sciences, Beijing, 100049, China;

    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China The University of Chinese Academy of Sciences, Beijing, 100049, China;

    Beijing Jiaotong University, Beijing, 100044, China;

    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100191, China;

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