基于形變配準技術對放療前后靶區(qū)變化的評估
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本文關鍵詞:基于形變配準技術對放療前后靶區(qū)變化的評估 出處:《山東師范大學》2017年碩士論文 論文類型:學位論文
更多相關文章: ~(18)F-FDG PET-CT 肺癌 重疊率 形變配準
【摘要】:在根治性放化療后,患有II或III期非小細胞肺癌(NSCLC)的患者的生存概率仍然較低。在放療腫瘤目標體積內仍存在許多復發(fā)區(qū)域,因而表明放射治療中的總處方劑量不足。如果加大劑量必須對照射靶區(qū)有充分的認識,即要有組織信息,還要有新陳代謝信息。然而多模態(tài)的圖像PET/CT就包含了新陳代謝信息和組織信息,期望通過PET/CT圖像來指導放射治療計劃。PET圖像還有個獨特的性質,就是可以對腫瘤區(qū)域利用標準吸收值(Standard Uptake Value,SUV)值(90%、80%、70%、60%、50%、34%SUVmax)進行勾畫不同的區(qū)域,如果在放療過程中找到對射線不敏感的SUV值區(qū)域,在制定治療計劃時就可以考慮在此區(qū)域加大劑量;颊咴赗T期間,大體積的腫瘤收縮或變形,體重減輕或掃描期間身體位置的變化,都有可能導致重大解剖結構的形變。形變配準是醫(yī)學圖像處理的常用方法,配準技術就是有目的將兩幅圖查找一種變換,變換是為了讓兩幅圖的差別達到極小的程度,可以進一步應用于器官和靶區(qū)輪廓的形變以及劑量分布的計算。本論文研究就采用Symmetric Demons多分辨率形變配準的方法提取放療前后CT的圖像的作用域,并將其作用于放療前PET圖像,用來形變放療前PET圖像,使放療前和放療后的PET圖像融合更加精準。與放療后的PET圖像相比較,通過設定圖像中SUV(standard uptake value)的閾值,判斷勾畫輪廓之間的重疊率,以獲得圖像中的高攝取區(qū)域,回顧性指導精確放療。本研究對22例非小細胞肺癌患者的PET/CT數(shù)據(jù)進行試驗分析、評估,得出結論:基于氟代脫氧葡萄糖(Fludeoxyglucose,FDG)高攝取區(qū)域的高重疊率結果,表明病變區(qū)域在放療前后的位置相對穩(wěn)定。經過千伏級或兆伏級X射線照射(即RT)后的殘余腫瘤基本上位于放療前靶區(qū)對~(18)F-FDG葡萄糖的高吸取區(qū)域。初步實驗結果證明本研究可用于判斷靶區(qū)區(qū)域對放療的反應,回顧性指導放療計劃,可以針對放療后殘余的靶區(qū)加大照射劑量,保護危及器官和組織,精確放療。
[Abstract]:After radical radiotherapy and chemotherapy, the survival probability of NSCLC patients with stage II or III NSCLC was still low. This indicates that the total prescribed dose in radiotherapy is insufficient. If the dose is increased, the target area of irradiation must be fully understood, that is, there should be organized information. There is also metabolic information. However, the multimodal image PET/CT contains both metabolic and organizational information. It is expected that PET/CT images can be used to guide radiotherapy planning. Pet images also have a unique property. In other words, we can use standard Uptake value (SUV) for the tumor area. (90%) and 80% (70%) and 60% (50%). 34 / SUVmax. draw different areas if you find a radiosensitive SUV value area during radiation therapy. Increased doses in this area may be considered when planning treatment. During RT, patients with large tumors contract or deform, weight loss or changes in body position during scanning. Deformation registration is a common method of medical image processing, and registration technology is to find a transformation between two images purposefully. The purpose of the transformation is to make the difference between the two pictures to a minimum. It can be further applied to the deformation of organ and target contour and the calculation of dose distribution. In this paper, Symmetric is used in the study. Demons multi-resolution deformation registration method to extract the scope of CT images before and after radiotherapy. It is applied to PET images before radiotherapy and used to deform PET images before and after radiotherapy, so that the fusion of PET images before and after radiotherapy is more accurate, and compared with PET images after radiotherapy. By setting the threshold of SUV(standard uptake value in the image, the overlap rate between the outlines can be determined to obtain the high uptake area in the image. PET/CT data of 22 patients with non-small cell lung cancer (NSCLC) were analyzed and evaluated. Conclusion: based on the high overlap rate of high uptake region of Fludeoxyglucose fluorodeoxyglucose (Fludeoxyglucose) FDG. These results indicate that the location of the lesion is relatively stable before and after radiotherapy, and the residual tumors after X-ray irradiation (i.e. RTT) at the kilovolt or megovolt level are basically located in the target area before radiotherapy. The preliminary experimental results show that this study can be used to judge the response of target region to radiotherapy. The retrospective guidance radiotherapy plan can increase the radiation dose for the residual target area after radiotherapy, protect organs and tissues, and accurately radiotherapy.
【學位授予單位】:山東師范大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:R730.55;TP391.41
【參考文獻】
相關期刊論文 前6條
1 石雪;陳進琥;李洪升;尹勇;李登旺;;基于感興趣窄帶區(qū)域的同步分割與配準方法及在IGRT中的應用[J];自動化學報;2015年09期
2 袁崢璽;聶生東;;圖像配準技術在圖像引導放療中的應用[J];中國醫(yī)學物理學雜志;2012年05期
3 李登旺;李洪升;王惠;王洪君;尹勇;彭玉華;;基于邊緣保護尺度空間的形變配準方法及在自適應放療中的應用[J];自動化學報;2012年05期
4 李登旺;王洪君;尹勇;;基于邊緣保護多尺度空間的醫(yī)學圖像配準方法[J];模式識別與人工智能;2011年01期
5 周付根;段卓鐳;;Demons算法在四維CT圖像配準中的應用[J];CT理論與應用研究;2009年01期
6 張書旭,徐海榮,林生趣,李文華;宮頸癌調強放療和三維適形放療劑量對比研究[J];中國醫(yī)學物理學雜志;2004年05期
相關博士學位論文 前1條
1 孟雪;功能分子影像在非小細胞肺癌中的應用研究[D];山東大學;2012年
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