基于形變配準(zhǔn)技術(shù)對(duì)放療前后靶區(qū)變化的評(píng)估
本文關(guān)鍵詞:基于形變配準(zhǔn)技術(shù)對(duì)放療前后靶區(qū)變化的評(píng)估 出處:《山東師范大學(xué)》2017年碩士論文 論文類(lèi)型:學(xué)位論文
更多相關(guān)文章: ~(18)F-FDG PET-CT 肺癌 重疊率 形變配準(zhǔn)
【摘要】:在根治性放化療后,患有II或III期非小細(xì)胞肺癌(NSCLC)的患者的生存概率仍然較低。在放療腫瘤目標(biāo)體積內(nèi)仍存在許多復(fù)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(duì)照射靶區(qū)有充分的認(rèn)識(shí),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(guò)PET/CT圖像來(lái)指導(dǎo)放射治療計(jì)劃。PET圖像還有個(gè)獨(dú)特的性質(zhì),就是可以對(duì)腫瘤區(qū)域利用標(biāo)準(zhǔn)吸收值(Standard Uptake Value,SUV)值(90%、80%、70%、60%、50%、34%SUVmax)進(jìn)行勾畫(huà)不同的區(qū)域,如果在放療過(guò)程中找到對(duì)射線不敏感的SUV值區(qū)域,在制定治療計(jì)劃時(shí)就可以考慮在此區(qū)域加大劑量。患者在RT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(dǎo)致重大解剖結(jié)構(gòu)的形變。形變配準(zhǔn)是醫(yī)學(xué)圖像處理的常用方法,配準(zhǔn)技術(shù)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(dá)到極小的程度,可以進(jìn)一步應(yīng)用于器官和靶區(qū)輪廓的形變以及劑量分布的計(jì)算。本論文研究就采用Symmetric Demons多分辨率形變配準(zhǔn)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(lái)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(zhǔn)。與放療后的PET圖像相比較,通過(guò)設(shè)定圖像中SUV(standard uptake value)的閾值,判斷勾畫(huà)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(dǎo)精確放療。本研究對(duì)22例非小細(xì)胞肺癌患者的PET/CT數(shù)據(jù)進(jìn)行試驗(yàn)分析、評(píng)估,得出結(jié)論:基于氟代脫氧葡萄糖(Fludeoxyglucose,FDG)高攝取區(qū)域的高重疊率結(jié)果,表明病變區(qū)域在放療前后的位置相對(duì)穩(wěn)定。經(jīng)過(guò)千伏級(jí)或兆伏級(jí)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(duì)~(18)F-FDG葡萄糖的高吸取區(qū)域。初步實(shí)驗(yàn)結(jié)果證明本研究可用于判斷靶區(qū)區(qū)域?qū)Ψ暖煹姆磻?yīng),回顧性指導(dǎo)放療計(jì)劃,可以針對(duì)放療后殘余的靶區(qū)加大照射劑量,保護(hù)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(xué)位授予單位】:山東師范大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:R730.55;TP391.41
【參考文獻(xiàn)】
相關(guān)期刊論文 前6條
1 石雪;陳進(jìn)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(zhǔn)方法及在IGRT中的應(yīng)用[J];自動(dòng)化學(xué)報(bào);2015年09期
2 袁崢璽;聶生東;;圖像配準(zhǔn)技術(shù)在圖像引導(dǎo)放療中的應(yīng)用[J];中國(guó)醫(yī)學(xué)物理學(xué)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(hù)尺度空間的形變配準(zhǔn)方法及在自適應(yīng)放療中的應(yīng)用[J];自動(dòng)化學(xué)報(bào);2012年05期
4 李登旺;王洪君;尹勇;;基于邊緣保護(hù)多尺度空間的醫(yī)學(xué)圖像配準(zhǔn)方法[J];模式識(shí)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(zhǔn)中的應(yīng)用[J];CT理論與應(yīng)用研究;2009年01期
6 張書(shū)旭,徐海榮,林生趣,李文華;宮頸癌調(diào)強(qiáng)放療和三維適形放療劑量對(duì)比研究[J];中國(guó)醫(yī)學(xué)物理學(xué)雜志;2004年05期
相關(guān)博士學(xué)位論文 前1條
1 孟雪;功能分子影像在非小細(xì)胞肺癌中的應(yīng)用研究[D];山東大學(xué);2012年
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