基于小鼠模型的器官分割方法研究
發(fā)布時(shí)間:2018-06-12 03:50
本文選題:醫(yī)學(xué)圖像分割 + 模糊連接度 ; 參考:《西安電子科技大學(xué)》2012年碩士論文
【摘要】:動(dòng)物模型是現(xiàn)代生物醫(yī)學(xué)研究中重要的實(shí)驗(yàn)方法和手段,分割出小動(dòng)物的各個(gè)器官是各種小動(dòng)物成像技術(shù)的需要,也是醫(yī)學(xué)影像處理與分析的首要要求。 首先,本文針對(duì)醫(yī)學(xué)圖像中常用的小鼠模型提出了一種結(jié)合模糊連接度和Otsu方法的交互式圖像分割方法,該方法首先應(yīng)用一種動(dòng)態(tài)規(guī)劃的方法求出種子點(diǎn)的模糊連接對(duì)象,然后通過Otsu方法設(shè)置閾值提取出小鼠的骨骼圖像。最后以小鼠CT采集數(shù)據(jù)進(jìn)行了驗(yàn)證,,實(shí)驗(yàn)結(jié)果證明了該方法的有效性。 此外,針對(duì)基于高斯混合分布的醫(yī)學(xué)圖像分割方法,本文還提出了一種改進(jìn)的各項(xiàng)異性平滑濾波來對(duì)圖像進(jìn)行預(yù)處理,然后結(jié)合直方圖分析方法為分解混合密度的經(jīng)典方法-期望最大算法提供良好初值,最后用期望最大算法來迭代實(shí)現(xiàn)對(duì)混合密度的分解。并針對(duì)小鼠的CT采集數(shù)據(jù)應(yīng)用此方法提取出了其肺部圖像,實(shí)驗(yàn)結(jié)果證明了其優(yōu)越性。
[Abstract]:Animal model is an important experimental method and means in modern biomedical research. It is the need of various small animal imaging techniques to divide the various organs of small animals, and it is also the primary requirement of medical image processing and analysis.
First, an interactive image segmentation method combining fuzzy connectedness and Otsu method is proposed in this paper. Firstly, a dynamic programming method is used to find the fuzzy connection object of the seed point, and then the threshold of the mouse's skeleton image is extracted by the Otsu method. Finally, it is small. The experimental data of rat CT are verified, and the experimental results show the effectiveness of the method.
In addition, aiming at the medical image segmentation method based on Gauss mixed distribution, this paper also proposes an improved heterosexual smoothing filter to preprocess the image, and then combines the histogram analysis method to provide good initial value for the classical method of decomposing mixed density - the maximum expected maximum algorithm. Finally, the desired maximum algorithm is used to iterate the implementation. The decomposition of mixed density is carried out, and the lung image is extracted from the CT data of the mouse. The experimental results prove its superiority.
【學(xué)位授予單位】:西安電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2012
【分類號(hào)】:R311;TP391.41
【引證文獻(xiàn)】
相關(guān)碩士學(xué)位論文 前1條
1 鐘志成;小動(dòng)物Micro-CT系統(tǒng)插件設(shè)計(jì)與部分實(shí)現(xiàn)[D];西安電子科技大學(xué);2013年
本文編號(hào):2008199
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