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Finite element model-based tumor registration of microPET and high-resolution MR images for photodynamic therapy in mice

机译:基于有限元模型的小鼠微移泌和高分辨率MR图像的肿瘤登记,对小鼠的光动力学治疗

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We are investigating imaging techniques to study the tumor response to photodynamic therapy (PDT). PET can provide physiological and functional information. High-resolution MRI can provide anatomical and morphological changes. Image registration can combine MRI and PET images for improved tumor monitoring. In this study, we acquired high-resolution MRI and microPET [18F]fluorodeoxyglucose (FDG) images from C3H mice with RIF-1 tumors that were treated with Pc 4-based PDT. For tumor registration, we developed a finite element model (FEM)-based deformable registration scheme. To assess the registration quality, we performed slice by slice review of both image volumes, computed the volume overlap ratios, and visualized both volumes in color overlay. The mean volume overlap ratios for tumors were 94.7% after registration. Registration of high-resolution MRI and microPET images combines anatomical and functional information of the tumors and provides a useful tool for evaluating photodynamic therapy.
机译:我们正在研究研究肿瘤对光动力治疗(PDT)的肿瘤反应的成像技术。宠物可以提供生理和功能信息。高分辨率MRI可以提供解剖和形态学变化。图像配准可以组合MRI和PET图像进行改善的肿瘤监测。在该研究中,我们获得了从C3H小鼠的高分辨率MRI和微泡[18F]氟脱氧葡萄糖(FDG)图像与基于PC 4的PDT处理的RIF-1肿瘤。对于肿瘤注册,我们开发了一种有限元模型(FEM)可变形配准方案。为了评估注册质量,我们通过对图像卷的切片审查进行切片,计算卷重叠比率,并在彩色覆盖中可视化两个卷。注册后肿瘤的平均体积重叠比率为94.7%。高分辨率MRI和MicroPet图像的登记结合了肿瘤的解剖学和功能信息,并提供了一种用于评估光动力疗法的有用工具。

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