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超声手术导航技术研究:图像分割,标定及可视化

Abstract第2页
摘要第3-8页
1 Introduction第8-19页
    1.1 Research Background and Significance第8-9页
    1.2 The Key Technologies in Ultrasound-Based Surgery Navigation第9-16页
        1.2.1 Ultrasound Imaging第9-10页
        1.2.2 Tracking Technologies第10-12页
        1.2.3 Calibration of the Ultrasound Probe and Surgery Instrument第12-14页
        1.2.4 Registration and Ultrasound Segmentation第14-15页
        1.2.5 Visualization in Ultrasound-based Surgery Navigation第15-16页
    1.3 Research Progress第16-18页
        1.3.1 Literature Review第16-17页
        1.3.2 The Challenge of Ultrasound-based Surgical Navigation第17-18页
    1.4 Outline第18-19页
2 Workflow and Application of Ultrasound-based Surgery Navigation第19-23页
    2.1 Workflow of Ultrasound-based Surgery Navigation第19-21页
    2.2 Applications of Ultrasound-Based Surgical Navigation第21-22页
        2.2.1 Ultrasound-based Surgery Navigation in Neurosurgery第21-22页
        2.2.2 Ultrasound-based Surgery Navigation in Laparoscopic第22页
    2.3 Chapter Summary第22-23页
3 The Principle and Method of the Surgical Instrument’s Tip and Ultrasound Probe Calibration第23-42页
    3.1 Recursive Maximum Correntropy based Calibration of the Surgical Instrument’s Tip第23-33页
        3.1.1 Principle Method of Surgical Instrument Tip Calibration第23-25页
        3.1.2 Recursive Maximum Correntropy Theory第25-27页
        3.1.3 Surgical Instrument Tip Calibration using the Recursive Maximum Correntropy Algorithm第27-28页
        3.1.4 Experimental Setup第28-31页
        3.1.5 Experimental Results第31-33页
        3.1.6 Conclusion and Discussion第33页
    3.2 Ultrasound Probe Calibration第33-41页
        3.2.1 Principle Method of Ultrasound Probe Calibration第35-38页
        3.2.2 Experimental Process and Results第38-41页
        3.2.3 Conclusion and Discussion第41页
    3.3 Chapter Summary第41-42页
4 The Principle and Method of Tumor Segmentation in the Ultrasound Image第42-55页
    4.1 Image Segmentation Background第44-45页
        4.1.1 CV Method第44页
        4.1.2 LBF Method第44-45页
    4.2 Active Contour Driven by Global and Local Correntropy Energies (GLCK) for Segmentation Ultrasound Image第45-54页
        4.2.1 GLCK Methodt第45-48页
        4.2.2 GLCK Algorithm第48页
        4.2.3 Experimental Results第48-53页
        4.2.4 Discussion and Conclusion第53-54页
    4.3 Chapter Summary第54-55页
5 Assembly of Ultrasound-based Navigation Systems第55-61页
    5.1 System Material第55-57页
    5.2 System Calibration第57页
    5.3 System Visualization第57-60页
        5.3.1 Main Part of the Program第57-59页
        5.3.2 Experimental Results第59-60页
    5.4 Chapter Summary第60-61页
Conclusions第61-63页
References第63-67页
Research Projects and Publications in Master Study第67-68页
Acknowledgement第68-72页

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