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High Accuracy Visualization Methods for Augmented Reality based Surgical Navigation

Title
High Accuracy Visualization Methods for Augmented Reality based Surgical Navigation
Translated Title
증강현실 기반 수술 내비게이션을 위한 고 정밀 시각화 기법들
Authors
Hyunseok Choi
DGIST Authors
Choi, Hyunseok; Lee, HyunkiHong, Jaesung
Advisor(s)
홍재성
Co-Advisor(s)
Hyunki Lee
Issue Date
2020
Available Date
2020-06-23
Degree Date
2020-02
Type
Thesis
Description
Augmented reality, Surgical navigation, Camera calibration, Visualization, Optical tracking
Table Of Contents
Ⅰ. INTRODUCTION 1 1-1. Introduction of AR based surgical navigation 1 1-2. Visualization techniques for the depth perception in AR navigation 2 1-3. Visualization techniques to compensate for lens distortion 3 1-4. The application of visualization technique : Bone tumor resection 4 1-5. The application of visualization technique : Bone tumor resection 5 Ⅱ. Methods 6 2-1 Camera calibration 6 2-1.1 Control points estimation method 8 2-1.2 Camera model 12 2-1.3 Mono camera calibration 16 2-1.4 Stereo camera calibration 17 2-2. Marker design 19 2-3. Mono camera-based tracking method 22 2-4. Stereo camera-based tracking method 23 2-5. Patient to image registration 25 2-6. Fundamental techniques for AR visualization 28 2-7. Advanced visualization techniques for AR navigation 31 2-7.1 Effective overlay technique considering lens distortion 31 2-7.2 Depth perception in AR 37 2-7.3 Visualization of safety margin 40 Ⅲ. Experiments 45 3-1. Control points estimation method 45 3-2. Camera calibration 50 3-2.1 Mono camera calibration 50 3-2.2 Stereo camera calibration 51 3-3. Mono camera-based tracking method 52 3-4. Stereo camera-based tracking method 53 3-5. Effective overlay technique considering lens distortion 55 3-6. Depth perception in AR 56 3-6.1 Subjects and evaluation items 56 3-6.2 Apparatus 56 3-6.3 Task definitions 57 3-6.4 HypoTheses and statistical analysis 59 3-7. Visualization of safety margin 60 Ⅳ. Results and discussion 62 4-1. Control points estimation method 62 4-1.1 Error of control points according to camera angle 62 4-1.2 Error of control points according to degree of blur 63 4-2. Camera calibration 65 4-2.1 Mono camera calibration 65 4-2.2 Stereo camera calibration 66 4-3. Mono camera-based tracking method 68 4-4. Stereo camera-based tracking method 69 4-5. Effective overlay technique considering lens distortion 69 4-6. Depth perception in AR 72 4-7. Visualization of safety margin 79 Ⅴ. Conclusion 82
URI
http://dgist.dcollection.net/common/orgView/200000285575
http://hdl.handle.net/20.500.11750/11982
DOI
10.22677/Theses.200000285575
Degree
Doctor
Department
Robotics Engineering
University
DGIST
Related Researcher
  • Author Lee, Hyunki  
  • Research Interests Machine Vision, Intelligent Robot, Design of Optical Systems
Files:
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Collection:
Department of Robotics EngineeringThesesPh.D.


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