【摘要】：調(diào)強放射治療(IMRT)計劃制定效率不高、難以保證治療計劃的高質(zhì)量是目前調(diào)強放射治療技術(shù)中一直存在的問題之一,基于形狀的IMRT計劃檢索技術(shù)為縮短IMRT計劃制定周期、提高放射治療計劃質(zhì)量提供了一種新方法。本研究建立了一種適用于IMRT計劃檢索的重疊體積直方圖(OVH)形狀關(guān)系的關(guān)系描述算子,提出一種基于Matlab的計算方法。利用一例臨床實際的鼻咽癌病例分析了OVH描述子的描述特性,利用22例臨床鼻咽癌IMRT計劃研究了其形狀關(guān)系檢索的性能。實驗結(jié)果表明OVH描述子能夠簡潔的描述放療三維場景中靶區(qū)和危及器官間的三維形狀關(guān)系特征,并且能夠有效檢索出相似度較高的一組形狀,適合于基于形狀的IMRT計劃檢索。
[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.
【作者單位】： 南京航空航天大學核科學與工程系;江蘇省中醫(yī)院放療科;南京軍區(qū)南京總醫(yī)院放療科;
【分類號】：R739.63;TP391.41

【共引文獻】

相關(guān)碩士學位論文 前1條

1 龐廷田;調(diào)強治療計劃優(yōu)化的新方向研究[D];清華大學;2013年

【相似文獻】

相關(guān)期刊論文 前3條

1 曹彥坤;遲子鋒;焦廣青;劉丹;李潤霄;韓春;;食管癌IMRT計劃設計降低子野數(shù)及MU數(shù)方法研究[J];中國醫(yī)學物理學雜志;2011年02期

2 張利文;滕建建;石錦平;謝秋英;;直腸癌術(shù)后Rapid Arc和IMRT計劃的劑量學對比[J];吉林醫(yī)學;2012年25期

3 ;[J];;年期

相關(guān)會議論文 前1條

1 劉丹;張偉;曹彥坤;王瀾;劉志坤;韓春;;食管癌IMRT計劃的二維與三維電離室劑量學驗證比較[A];中華醫(yī)學會放射腫瘤治療學分會六屆二次暨中國抗癌協(xié)會腫瘤放療專業(yè)委員會二屆二次學術(shù)會議論文集[C];2009年

，

本文編號：2463501