本文關(guān)鍵詞：基于多模板彈性配準(zhǔn)的鼻咽癌危及器官自動分割　出處：《福州大學(xué)》2013年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 鼻咽癌 形變配準(zhǔn) STAPLE方法 DICE相似度方法 ITK工具箱

【摘要】：隨著計算機技術(shù)的發(fā)展,放射治療技術(shù)也從二維治療進入到了三維精確治療階段。在三維精確治療中,對患者危及器官及腫瘤的勾畫要求也越來越高。實踐中手工勾畫存在耗時長和專家勾畫互相之間,專家自身在不同時間勾畫結(jié)果不同等問題。因此需要快速的而準(zhǔn)確的勾畫出危及器官。鼻咽癌作為我國東南沿海地區(qū)的高發(fā)腫瘤,腫瘤附近區(qū)域是人體中一個結(jié)構(gòu)極為復(fù)雜且十分重要部位,因此鼻咽癌危機器官的自動勾畫的實現(xiàn)具有十分重大的臨床意義。本文首先概要的介紹了國內(nèi)外鼻咽癌放射治療的現(xiàn)狀,并討論了臨床中自動分割的必要性。同時給出了本文研究的基本路線。其次用三步法實現(xiàn)鼻咽癌危及器官的自動分割。在第一步中主要介紹基本的線性形變配準(zhǔn)和相關(guān)的評價方案,并簡介了圖像配準(zhǔn)基本框架的四個要素：幾何變換,圖像插值,相似性測度以及優(yōu)化算法。同時介紹了EMMA算法步驟。最后在基于ITK軟件包的基礎(chǔ)上實現(xiàn)了線性配準(zhǔn)。第二步中介紹基于線性配準(zhǔn)的多邊形平滑非線性配準(zhǔn)。包括歐氏對數(shù)多邊形仿射變換框架和塊配準(zhǔn)的方法,然后說明如何用其對多邊形平滑配準(zhǔn)的評估。最后一步介紹并實現(xiàn)形狀限制的密度形變配準(zhǔn)。主要對于高斯窗口局部相關(guān)因子(Local correlation coefficients, LCC)進行詳細(xì)介紹。并用ITK工具箱實現(xiàn)了全自由度形變配準(zhǔn)的編程。本文的最后一部分介紹了STAPLE(Simultaneous Truth and Performance Level Estimation)方法及如何使用STAPE方法進行多模板自動勾畫的合成。同時介紹本文提出的模板選取的方法,及臨床自動分割結(jié)果的三種評價方法,包括DICE相似度方法、變形距離法、體積差異法。實踐測試中,使用兩個不同的醫(yī)院的病例數(shù)據(jù),這些都經(jīng)過專家用手工勾畫好了危及器官,分別選取了7例病例來作為模板數(shù)據(jù)庫。以此對于15例待勾畫病例進行了自動勾畫。通過專家手工勾畫的15例的結(jié)果與自動勾畫結(jié)果、自動勾畫修正的結(jié)果進行三種方法的評價。實驗證明,本文提出了的方法可以進一步提高自動勾畫的準(zhǔn)確性。同時大幅度的減少了臨床醫(yī)生勾畫的時間。
[Abstract]:With the development of computer technology, radiotherapy technology has also entered the stage of three-dimensional precise treatment from two-dimensional treatment. The requirements for patients with dangerous organs and tumor sketching are also increasing. In practice, manual sketching takes a long time and expert sketching each other. Experts themselves draw different results at different times. Therefore, it is necessary to quickly and accurately delineate the dangerous organs. Nasopharyngeal carcinoma (NPC) is a high incidence tumor in the southeast coastal area of China. The area near the tumor is a very complicated and important part of human body. Therefore, the realization of automatic mapping of nasopharyngeal carcinoma crisis organs is of great clinical significance. Firstly, the present situation of radiotherapy for nasopharyngeal carcinoma at home and abroad is briefly introduced in this paper. The necessity of automatic segmentation in clinic is also discussed. The basic route of this paper is also given. Secondly, the three-step method is used to realize automatic segmentation of nasopharyngeal carcinoma (NPC) endangered organs. In the first step, the basic linear deformation registration is introduced. And related evaluation programmes. The four main elements of the basic frame of image registration are introduced: geometric transformation and image interpolation. Similarity measure and optimization algorithm. At the same time, the steps of EMMA algorithm are introduced. Finally, linear registration is realized on the basis of ITK software package. In the second step, the smooth nonlinearity of polygon based on linear registration is introduced. Registration. Includes the Euclidean logarithmic polygon affine transformation frame and block registration methods. Then it explains how to evaluate the smooth registration of polygons. The last step is to introduce and realize the shape limited density deformation registration. Local correlation coefficients. The programming of full degree of freedom deformation registration is realized with ITK toolbox. The last part of this paper introduces Staple (. Simultaneous Truth and Performance Level estimation). Methods and how to use STAPE method to synthesize multi-template automatic sketch. At the same time, the method of template selection proposed in this paper is introduced. And three evaluation methods of clinical automatic segmentation results, including DICE similarity method, deformation distance method, volume difference method. In practice, two different hospital case data were used. These are all hand-drawn by experts, endangering organs. Seven cases were selected as template database, and 15 cases were drawn automatically. The results of 15 cases were drawn by hand by experts and the results of automatic sketching were obtained. The results of automatic sketch correction are evaluated by three methods. Experiments show that the proposed method can further improve the accuracy of automatic sketching, and greatly reduce the time of drawing by clinicians.
【學(xué)位授予單位】：福州大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：R739.63;TP391.41

【相似文獻】

相關(guān)會議論文 前4條

1 黃杰華;李德強;;基于先驗?zāi)０迮c更新模板的目標(biāo)跟蹤[A];2007年光電探測與制導(dǎo)技術(shù)的發(fā)展與應(yīng)用研討會論文集[C];2007年

2 張云峰;;多模板相關(guān)跟蹤算法研究[A];第八屆全國信息獲取與處理學(xué)術(shù)會議論文集[C];2010年

3 劉偉寧;;基于分層模板的目標(biāo)實時跟蹤算法[A];2006年全國光電技術(shù)學(xué)術(shù)交流會會議文集（D 光電信息處理技術(shù)專題）[C];2006年

4 魯劍鋒;;多模板相關(guān)跟蹤算法在DSP系統(tǒng)上的應(yīng)用[A];第九屆全國信息獲取與處理學(xué)術(shù)會議論文集Ⅱ[C];2011年

相關(guān)博士學(xué)位論文 前1條

1 展金鋒;15-22孕周胎兒大腦時間—空間模板的建立及應(yīng)用[D];山東大學(xué);2013年

相關(guān)碩士學(xué)位論文 前5條

1 柏朋剛;基于多模板彈性配準(zhǔn)的鼻咽癌危及器官自動分割[D];福州大學(xué);2013年

2 李明明;基于混合模型的貝爾模板圖像處理算法的研究[D];天津大學(xué);2012年

3 楊培;非正交二值子空間的模板表示并行生成算法及其應(yīng)用[D];南京大學(xué);2012年

4 張康寧;基于動態(tài)模板更新的嵌入式視頻跟蹤算法研究[D];長春理工大學(xué);2014年

5 王娟;SMT模板的自動影像檢測系統(tǒng)的研究[D];華南理工大學(xué);2010年

，

本文編號：1369436