重叠体积直方图描述子的计算方法和其在鼻咽癌IMRT计划检索中的应用

发布时间：2019-04-23 13:19

【摘要】：调强放射治疗(IMRT)计划制定效率不高、难以保证治疗计划的高质量是目前调强放射治疗技术中一直存在的问题之一,基于形状的IMRT计划检索技术为缩短IMRT计划制定周期、提高放射治疗计划质量提供了一种新方法。本研究建立了一种适用于IMRT计划检索的重叠体积直方图(OVH)形状关系的关系描述算子,提出一种基于Matlab的计算方法。利用一例临床实际的鼻咽癌病例分析了OVH描述子的描述特性,利用22例临床鼻咽癌IMRT计划研究了其形状关系检索的性能。实验结果表明OVH描述子能够简洁的描述放疗三维场景中靶区和危及器官间的三维形状关系特征,并且能够有效检索出相似度较高的一组形状,适合于基于形状的IMRT计划检索。
[Abstract]:The low efficiency of intensity modulated radiotherapy (IMRT) planning makes it difficult to guarantee the high quality of the treatment plan. The shape-based IMRT plan retrieval technique can shorten the planning cycle of IMRT, which is one of the problems in the current intensity modulated radiotherapy (IMRT) technology. Improving the quality of radiotherapy plans provides a new approach. In this paper, a relation description operator for (OVH) shape relation of overlapping volume histogram is established, which is suitable for IMRT plan retrieval, and a Matlab-based computing method is proposed. The description characteristics of OVH descriptors were analyzed in a clinical case of nasopharyngeal carcinoma (NPC), and the performance of shape relation retrieval was studied by using 22 cases of clinical nasopharyngeal carcinoma (NPC) IMRT program. The experimental results show that the OVH descriptor can describe the three-dimensional shape relationship between the target region and the endangering organs in radiotherapy 3D scene, and can effectively retrieve a group of shapes with high similarity, which is suitable for shape-based IMRT planning retrieval.
【作者单位】：南京航空航天大学核科学与工程系;江苏省中医院放疗科;南京军区南京总医院放疗科;
【分类号】：R739.63;TP391.41

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