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基于图像融合技术的三维适形放疗靶区界定的研究 被引量:3

The Study of Target Definition in the 3DCRT Based on the Image Fusion
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摘要 目的:探讨以图像融合技术为基础的肿瘤三维适形放疗靶区界定方法以及图像融合的原理.材料和方法:因为单纯CT图像为三维适形放疗认定靶区的缺陷和不确定性,以不同医生定义不同肿瘤区域,在不同的时间,得到不同的结果.而采用以体外标记点和内部互信息法进行多模式图像融合技术,在靶区定义得到一致的结果.结果:单纯利用CT图像进行靶区的定义,不同医生之间,在不同的时间存在差异(P<0.05),而采用融合技术减少他们的争议和差异.结论:利用多模式图像融合可以提高靶区定义的准确性,有利于三维适形精确放射治疗. Objective: To discuss the effects of definition tumors' target in the three dimension conformal radiotherapy (3DCRT) based on the image fusion. Materials and Methods: In the 3DCRT, as simply use CT images to find tumor location, it is normally some deviation and not definition position. We let different doctors define three different tumors in the three patients to find the deviation and error position, and the images which have different mode images (CT, MRI, and PET image) fusion based on internal information algorithm and external markers algorithm. Results: In the CT images definition tumor areas, different doctors and different time have different results, which have some disputes and these differences have statistical effects(P〈0.05). But in the image fusion definition, these disputes have statistically decreased in the different doctors' definitions and on the different time. Conclusions: Utilizafipn multiple mode images fusion can increase precise definition targets' positions and take advantage of three dimension precise radiotherapy.
出处 《中国医学物理学杂志》 CSCD 2005年第5期635-638,共4页 Chinese Journal of Medical Physics
关键词 三维适形放疗 图像融合 算法 靶区 three dimension radiotherapy image fusion algorithm target
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