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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 顏炳郎(Ping-Lang Yen) | |
| dc.contributor.author | Hsiao-Wei Huang | en |
| dc.contributor.author | 黃孝維 | zh_TW |
| dc.date.accessioned | 2021-07-11T14:40:58Z | - |
| dc.date.available | 2021-11-02 | |
| dc.date.copyright | 2016-11-02 | |
| dc.date.issued | 2016 | |
| dc.date.submitted | 2016-08-16 | |
| dc.identifier.citation | 1. Amiot, L.-P., K. Lang, M. Putzier, H. Zippel, and H. Labelle. 2000. Comparative Results Between Conventional and Computer-Assisted Pedicle Screw Installation in the Thoracic, Lumbar, and Sacral Spine. Spine (Phila Pa 1976) 25(5):606-614.
2. Besl, P. J., and N. D. McKay. 1992. A method for registration of 3-D shapes. Pattern Analysis and Machine Intelligence, IEEE Transactions on 14(2):239-256. 3. Crum, W. R., C. Tanner, and D. J. Hawkes. 2005. Anisotropic multi-scale fluid registration: evaluation in magnetic resonance breast imaging. Phys Med Biol 50(21):5153. 4. Herring JL, Dawant BM, Maurer CR, Muratore DM, Galloway RL, Fitzpatrick JM (1998) Surface-based registration of CT images to physical space for image-guided surgery of the spine: a sensitivity study. IEEE Trans Med Imaging 17(5):743–752. 5. Holden, M. 2008. A Review of Geometric Transformations for Nonrigid Body Registration. IEEE Trans Med Imaging 27(1):111-128. 6. Horn, B. K. 1987. Closed-form solution of absolute orientation using unit quaternions. JOSA A 4(4):629-642. 7. I. H. Kalfas, D. W. Kormos, M. A. Murphy, R. L. McKenzie, G. H. Barnett, G. R. Bell, C. P. Steiner, M. B. Trimble, and J. P. Weisenberger,“Application of frameless stereotaxy to pedicle screw fixation of the spine,” J. Neurosurg., vol. 83, pp. 641–647, 1995. 8. J. C. Steinmann, H. N. Herkowitz, H. El-Kommos, and D. P. Wesolowski, “Spinal pedicle fixation: Confirmation of an image-based technique for screw placement,” Spine, vol. 18, pp. 1856–1861, 1993. 9. Kamimura M, Ebara S, Itoh H, et al. Accurate pedicle screw insertion under the control of a computer-assisted image guiding system: Laboratory test and clinical study. J Ortho Science 4:197-206, 1999. 10. Kohlrausch, J., K. Rohr, and H. S. Stiehl. 2005. A New Class of Elastic Body Splines for Nonrigid Registration of Medical Images. Journal of Mathematical Imaging and Vision 23(3):253-280. 11. L.-P. Amiot, H. Labelle, J. A. DeGuise, M. Sati, P. Brodeur, and C.-H. Rivard, “Computer-assisted pedicle screw fixation: A feasibility study,” Spine, vol. 20, pp. 1208–1212, 1995. 12. L.-P. Nolte, L. J. Zamorano, Z. Jiang, Q. Wang, F. Langlotz, and U. Berlemann, “Image-guided insertion of transpedicular screws: A laboratory set-up,” Spine, vol. 20, pp. 497–500, 1995. 13. Lavallé, S., P. Sautot, J. Troccaz, P. Cinquin, and P. Merloz. 1995. Computer-assisted spine surgery: A technique for accurate transpedicular screw fixation using CT data and a 3-D optical localizer. Journal of Image Guided Surgery 1(1):65-73. 14. Lorensen, W. E., and H. E. Cline. 1987. Marching cubes: A high resolution 3D surface construction algorithm. In ACM siggraph computer graphics. ACM. 15. Moore, K. L., A. F. Dalley, and A. M. R. Agur. 2006. Clinically Oriented Anatomy. 5th ed. Lippincott Williams & Wilkins. 16. Rueckert, D., L. I. Sonoda, C. Hayes, D. L. G. Hill, M. O. Leach, and D. J. Hawkes. 1999. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans Med Imaging 18(8):712-721. 17. Schwarzenbach, O., U. Berlemann, B. Jost, H. Visarius, E. Arm, F. Langlotz, L.-P. Nolte, and C. Ozdoba. 1997. Accuracy of Computer‐Assisted Pedicle Screw Placement: An In Vivo Computed Tomography Analysis. Spine (Phila Pa 1976) 22(4):452-458. 18. Söyüncü, Y., F. B. Yldrm, H. Sekban, H. Özdemir, F. Akyldz, and M. Sindel. 2005. Anatomic Evaluation and Relationship Between the Lumbar Pedicle and Adjacent Neural Structures: An Anatomic Study. Clinical Spine Surgery 18(3):243-246. 19. Tamura, Y., N. Sugano, T. Sasama, Y. Sato, S. Tamura, K. Yonenobu, H. Yoshikawa, and T. Ochi. 2005. Surface-based registration accuracy of CT-based image-guided spine surgery. Eur Spine J 14(3):291-297. 20. Uğur, H. Ç., A. Attar, A. Uz, I. Tekdemir, N. Egemen, and Y. Genç. 2001. Thoracic Pedicle: Surgical Anatomic Evaluation and Relations. Clinical Spine Surgery 14(1):39-45. 21. Weinstein, J. N., B. L. Rydevik, and W. Rauschning. 1992. Anatomic and Technical Considerations of Pedicle Screw Fixation. Clinical Orthopaedics and Related Research 284:34-46. 22. Weise, L., O. Suess, T. Picht, and T. Kombos. 2008. Transpedicular screw fixation in the thoracic and lumbar spine with a novel cannulated polyaxial screw system. Medical Devices (Auckland, N.Z.) 1:33-39. 23. Zhuang, X., K. S. Rhode, R. S. Razavi, D. J. Hawkes, and S. Ourselin. 2010. A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI. IEEE Trans Med Imaging 29(9):1612-1625. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/78059 | - |
| dc.description.abstract | 本文旨在探討脊椎手術導航系統在建立醫療影像座標系及物理空間座標系時，運用較不同的概念去做疊合的步驟，找出在相同演算法下，能讓目前導航精度在進一步提升的辦法。以之前文獻中的經驗，加入形狀特徵的想法，配合每個不同特徵的專屬方式與區域的組合，經過模擬及實驗找出最好的實驗結果。實驗中所採用的疊合演算法為迭代最近點，而CT檔案以Marching cube的概念重建為三角網格，再配合本研究所提出之取點辦法，進行實驗。經過多次的實驗及比較證明利用形狀特徵劃分區域配合專屬取點方式可以提高疊合精度，且軸向特徵越明顯疊合效果越好。 | zh_TW |
| dc.description.abstract | This article aims to explore spinal surgical navigation system in the establishment of medical imaging coordinate system and physical space coordinate system, the use of different concepts run the registration step to find out at the method which can improve the current navigation accuracy with the same algorithms. In previous literature experience,then add shape feature ideas, each with unique characteristics and combinations of different areas, through simulation and experiment to find the best results. The experiment used an iterative closest point algorithm for registration, and the CT reconstruction to triangular mesh used the concept Marching cube, and then take the points with the approach proposed in this study, conducted experiments. After several experiments and demonstrate the use of relatively complex shape is distinguished by exclusive area take some ways to improve the accuracy of registration, and axially overlapping features more obvious the better. | en |
| dc.description.provenance | Made available in DSpace on 2021-07-11T14:40:58Z (GMT). No. of bitstreams: 1 ntu-105-R03631026-1.pdf: 3249041 bytes, checksum: 7f033a9c2f9f9bf5db37dadf74849c57 (MD5) Previous issue date: 2016 | en |
| dc.description.tableofcontents | 口試委員審定書 i
致謝 ii 摘要 iii ABSTRACT iv 目 錄 v 圖目錄 vii 表目錄 ix 第一章 緒論 1 1.1 研究動機 1 1.2文獻回顧 3 1.3 研究目的 6 1.4 研究方法 7 第二章 研究架構 8 2.1 迭代最近點基本理論 8 2.2 CT重建為三角網格理論 16 第三章 脊椎生理特徵分析 19 3.1 脊椎特徵區域 19 3.2區域取點路徑分析 21 第四章 CT與病人關係之配準實驗 24 4.1 實驗目的 24 4.2 實驗架構與實驗設備 24 4.2.1 脊椎CT檔案與重建仿體 25 4.2.2 程式設計及人機介面撰寫 28 4.2.3 光學追蹤系統 31 4.3 理想取點初步配準 32 4.4 理想取點方法 33 4.5 光學追蹤系統取點方法 34 第五章 結果分析與討論 35 第六章 結論 43 引用文獻 44 | |
| dc.language.iso | zh-TW | |
| dc.subject | 影像物理空間疊合 | zh_TW |
| dc.subject | 脊椎手術導航系統 | zh_TW |
| dc.subject | 脊椎生理特徵 | zh_TW |
| dc.subject | 迭代最近點 | zh_TW |
| dc.subject | spinal surgical navigation system | en |
| dc.subject | Registration of images to physical space | en |
| dc.subject | Spinal feature | en |
| dc.subject | Iterative closest point | en |
| dc.title | 脊椎表面取點區域及路徑對於疊合精準度影響之分析 | zh_TW |
| dc.title | Analysis of Registration Accuracy about Region and Path of Point-Selection on Spinal Surface | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 105-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 洪碩穗(Shuo-Sui Hung),葉廷仁(Ting-Jen Yeh) | |
| dc.subject.keyword | 脊椎手術導航系統,影像物理空間疊合,脊椎生理特徵,迭代最近點, | zh_TW |
| dc.subject.keyword | spinal surgical navigation system,Registration of images to physical space,Spinal feature,Iterative closest point, | en |
| dc.relation.page | 45 | |
| dc.identifier.doi | 10.6342/NTU201602736 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2016-08-17 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 生物產業機電工程學研究所 | zh_TW |
| 顯示於系所單位： | 生物機電工程學系 | |
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| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-105-R03631026-1.pdf 未授權公開取用 | 3.17 MB | Adobe PDF |
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