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首页> 外文期刊>Medical Physics >Deformable and rigid registration of MRI and microPET images for photodynamic therapy of cancer in mice.
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Deformable and rigid registration of MRI and microPET images for photodynamic therapy of cancer in mice.

机译:MRI和microPET图像的可变形和刚性定位,用于小鼠的光动力疗法。

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We are investigating imaging techniques to study the tumor response to photodynamic therapy (PDT). Positron emission tomography (PET) can provide physiological and functional information. High-resolution magnetic resonance imaging (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. We developed two registration methods for this application. For registration of the whole mouse body, we used an automatic three-dimensional, normalized mutual information algorithm. For tumor registration, we developed a finite element model (FEM)-based deformable registration scheme. To assess the quality of whole body registration, we performed slice-by-slice review of both image volumes; manually segmented feature organs, such as the left and right kidneys and the bladder, in each slice; and computed the distance between corresponding centroids. Over 40 volume registration experiments were performed with MRI and microPET images. The distance between corresponding centroids of organs was 1.5 +/- 0.4 mm which is about 2 pixels of microPET images. The mean volume overlap ratios for tumors were 94.7% and 86.3% for the deformable and rigid registration methods, respectively. 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:我们正在研究成像技术,以研究肿瘤对光动力疗法(PDT)的反应。正电子发射断层扫描(PET)可以提供生理和功能信息。高分辨率磁共振成像(MRI)可以提供解剖和形态变化。图像配准可以将MRI和PET图像结合起来以改善肿瘤监测。在这项研究中,我们从具有RIF-1肿瘤的C3H小鼠中获取了高分辨率MRI和microPET 18F-氟代脱氧葡萄糖(FDG)图像,并用基于Pc 4的PDT对其进行了治疗。我们为此应用程序开发了两种注册方法。为了注册整个鼠标的身体,我们使用了自动的三维标准化互信息算法。对于肿瘤注册,我们开发了基于有限元模型(FEM)的可变形注册方案。为了评估全身配准的质量,我们对两个图像量进行了逐层检查。在每个切片中手动分割特征器官,例如左右肾脏和膀胱;并计算出相应质心之间的距离。使用MRI和microPET图像进行了40多次体积配准实验。器官的相应质心之间的距离为1.5 +/- 0.4毫米,约为microPET图像的2个像素。对于可变形和刚性配准方法,肿瘤的平均体积重叠率分别为94.7%和86.3%。高分辨率MRI和microPET图像的配准结合了肿瘤的解剖和功能信息,为评估光动力疗法提供了有用的工具。

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