與其它醫(yī)學(xué)成像技術(shù)相比,超聲成像具有安全性高、時(shí)間分辨率好等重要優(yōu)勢。由超聲圖像引導(dǎo)的介入式手術(shù)導(dǎo)航技術(shù)正日益成為臨床醫(yī)學(xué)的重要技術(shù)手段之一。在介入式手術(shù)過程中,超聲導(dǎo)航技術(shù)跟蹤超聲圖像探頭的坐標(biāo)位置,用于引導(dǎo)手術(shù)器械使之快速準(zhǔn)確地達(dá)到目標(biāo)位置。研究并實(shí)現(xiàn)基于雙目視覺的超聲引導(dǎo)介入是手術(shù)導(dǎo)航系統(tǒng),需要面對三個(gè)主要技術(shù)挑戰(zhàn):第一,要保證導(dǎo)航系統(tǒng)的高度精確性,并能夠準(zhǔn)確地將身體內(nèi)部狀態(tài)與變化展現(xiàn)給屏幕旁的外科醫(yī)生;第二,要在模糊的和固有斑點(diǎn)噪聲的醫(yī)學(xué)超聲圖像中準(zhǔn)確分割出腫瘤部位;最后,要結(jié)合利用數(shù)據(jù)實(shí)現(xiàn)導(dǎo)航過程的可視化,對手術(shù)醫(yī)生實(shí)時(shí)顯示合適的信息。為了解決這些問題,本文進(jìn)行了以下研究工作:首先,開發(fā)了一種手術(shù)器械尖端的標(biāo)定方法。針對傳統(tǒng)的基于最小二乘法(LS)標(biāo)定方法對異常值敏感問題,提出了一種基于遞推最大熵(RMC)準(zhǔn)則的自適應(yīng)標(biāo)定方法。分析和實(shí)驗(yàn)表明,該方法對異常值具有較好魯棒性,且標(biāo)定精度較高。其次,通過結(jié)合局部相關(guān)熵和全局相關(guān)熵,提出了一種基于全局和局部相關(guān)熵的k均值(GLCK)圖像分割算法。局部相關(guān)熵力在目標(biāo)邊界附近起主導(dǎo)作用,用來吸引水平集函數(shù)曲線達(dá)到目標(biāo)邊界;而全局相關(guān)熵力在遠(yuǎn)離目標(biāo)邊界時(shí)起主導(dǎo)作用。結(jié)果表明,GLCK模型提高了斑點(diǎn)噪聲和邊界模糊的圖像在分割上的魯棒性和精度,且計(jì)算時(shí)間也明顯減少。最后,提出了一個(gè)綜合的多模態(tài)可視化場景。我們設(shè)計(jì)了可以從任何位置觀看的虛擬3D導(dǎo)航場景,包括跟蹤的手術(shù)器械和實(shí)時(shí)2D超聲圖像平面的偽影表示。
【學(xué)位單位】：大連理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位年份】：2018
【中圖分類】：R319
【文章目錄】：
Abstract
摘要
1 Introduction
    1.1 Research Background and Significance
    1.2 The Key Technologies in Ultrasound-Based Surgery Navigation
        1.2.1 Ultrasound Imaging
        1.2.2 Tracking Technologies
        1.2.3 Calibration of the Ultrasound Probe and Surgery Instrument
        1.2.4 Registration and Ultrasound Segmentation
        1.2.5 Visualization in Ultrasound-based Surgery Navigation
    1.3 Research Progress
        1.3.1 Literature Review
        1.3.2 The Challenge of Ultrasound-based Surgical Navigation
    1.4 Outline
2 Workflow and Application of Ultrasound-based Surgery Navigation
    2.1 Workflow of Ultrasound-based Surgery Navigation
    2.2 Applications of Ultrasound-Based Surgical Navigation
        2.2.1 Ultrasound-based Surgery Navigation in Neurosurgery
        2.2.2 Ultrasound-based Surgery Navigation in Laparoscopic
    2.3 Chapter Summary
3 The Principle and Method of the Surgical Instrument’s Tip and Ultrasound Probe Calibration
    3.1 Recursive Maximum Correntropy based Calibration of the Surgical Instrument’s Tip
        3.1.1 Principle Method of Surgical Instrument Tip Calibration
        3.1.2 Recursive Maximum Correntropy Theory
        3.1.3 Surgical Instrument Tip Calibration using the Recursive Maximum Correntropy Algorithm
        3.1.4 Experimental Setup
        3.1.5 Experimental Results
        3.1.6 Conclusion and Discussion
    3.2 Ultrasound Probe Calibration
        3.2.1 Principle Method of Ultrasound Probe Calibration
        3.2.2 Experimental Process and Results
        3.2.3 Conclusion and Discussion
    3.3 Chapter Summary
4 The Principle and Method of Tumor Segmentation in the Ultrasound Image
    4.1 Image Segmentation Background
        4.1.1 CV Method
        4.1.2 LBF Method
    4.2 Active Contour Driven by Global and Local Correntropy Energies （GLCK） for Segmentation Ultrasound Image
        4.2.1 GLCK Methodt
        4.2.2 GLCK Algorithm
        4.2.3 Experimental Results
        4.2.4 Discussion and Conclusion
    4.3 Chapter Summary
5 Assembly of Ultrasound-based Navigation Systems
    5.1 System Material
    5.2 System Calibration
    5.3 System Visualization
        5.3.1 Main Part of the Program
        5.3.2 Experimental Results
    5.4 Chapter Summary
Conclusions
References
Research Projects and Publications in Master Study
Acknowledgement

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