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Reference 3D-tumour models from CT-data for evaluation of contouring algorithm based on the PET/CT imaging

机译:CT-DATA的参考3D肿瘤模型,用于评估PET / CT成像的轮廓化算法

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The method of Positron Emission Tomography (PET) is commonly used in nuclear medicine for the localization of tumours. Characterization of PET imaging systems is normally done with phantoms consisting of hollow spheres, filled with radioactive solution. These phantoms are not well suited for the evaluation of algorithms used to monitor a tumour response. This is mainly, because the inactive wall leads to quantification errors in the presence of background activity and because in vivo tumour structures deviate from a perfect sphere. A method is developed for the reproducible production of F-18 (radioactive marker) labelled tumour models from alginate, which have no inactive walls and are based on real CT tumour geometries. From CT data sets tumour geometries are segmented and converted into STL-files that describe the surface geometry. Based on these data different reusable negative moulds are manufactured by a rapid prototyping process. With these moulds the final tumour model is made in specially tailored alginate mixed with the desired concentration of F-18.
机译:正电子发射断层扫描(PET)的方法通常用于核医学中的肿瘤定位。宠物成像系统的表征通常是用由空心球组成的幽灵,填充放射性溶液。这些幽灵对于评估用于监测肿瘤反应的算法并不适合评估。这主要是,因为非活动墙在存在背景活动的情况下导致量化误差,并且因为在体内肿瘤结构中偏离完美的球体。开发一种方法,用于从藻酸盐的可重复生产的F-18(放射性标记物)标记的肿瘤模型,其没有无活性壁,并且基于真实的CT肿瘤几何形状。从CT数据设置肿瘤几何形状被分段并转换为描述表面几何形状的STL文件。基于这些数据,可以通过快速原型工艺制造不同的可重复使用的负模。通过这些模具,最终肿瘤模型采用特别定制的藻酸盐,与所需的F-18浓度混合。

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