跳到主要內容

簡易檢索 / 詳目顯示

研究生: 楊志柔
Chih-jo Yang
論文名稱: C-arm影像導引系統應用於股骨幹骨折復位手術
Femoral shaft fracture reduction based on C-arm navigation system
指導教授: 曾清秀
Ching-shiow Tseng
口試委員:
學位類別: 碩士
Master
系所名稱: 生醫理工學院 - 生物醫學工程研究所
Graduate Institute of Biomedical Engineering
論文出版年: 2013
畢業學年度: 102
語文別: 中文
論文頁數: 61
中文關鍵詞: C-arm手術導引電腦輔助手術骨折復位軟體測試
外文關鍵詞: C-arm, surgical navigation, computer-assisted surgery, fracture reduction, software verification
相關次數: 點閱:14下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • C-arm影像輔助手術導引系統可在使用兩張C-arm影像的情況下,得知病患與手術器械的相對位置,有縮短新進醫師學習時間、降低醫護人員輻射量、減少手術時間及提升手術品質等優點。本研究將既有之C-arm影像導引系統進行軟體測試,確保軟體品質之穩定與強健性,之後增加術前確認系統精準度的功能,以及加入股骨幹骨折復位手術的導引功能。
    股骨幹骨折復位手術導引系統是用來協助醫師將斷裂的股骨復位至應有的位置,基於人體左右兩側股骨呈現對稱的特性,將未斷裂側的股骨尺寸與方位做為斷裂側股骨的復位依據。在C-arm影像上選取或以器械尖端點選兩方式得到特徵點座標,包含股骨頭中心、近端股骨幹軸線、遠端股骨幹軸線以及內、外上髁的最凸點位置,並據以分別建立出未斷裂側與斷裂側的近、遠端座標系統。再利用光學式定位器即時追蹤架設於斷裂側之近、遠端斷骨的DRF位置,可計算得到斷裂側的股骨尺寸與方位,藉由比較未斷裂側與斷裂側之股骨尺寸與方位的差異,來得知股骨復位的狀態。
    C-arm影像導引系統之軟體測試經過黑箱測試、白箱測試以及回歸測試後,顯示系統軟體已達穩定狀態。股骨幹骨折復位導引實驗是以斷兩截及三截之股骨模型做測試,結果顯示與目標座標系統的原點位置距離誤差平均約為4mm,軸線方向誤差皆小於6度,而復位後的股骨長度誤差小於3mm。其誤差來源主要是以器械尖端點選特徵點時產生的人為操作誤差,將特徵點更改為在C-arm影像上選取,應有助於改善系統的誤差。


    A C-arm image assisted surgical navigation system for spine surgery has been developed to enable the surgeon to position surgical tools accurately and safely. It only needs two C-arm images to compute the orientations and positions of the targets, which reduces radiation exposure to the surgical team and patient. Software verification of the system is performed in this study to improve and verify its reliability and robustness. A new feature of the system for diaphyseal femoral fracture reduction is also developed.
    Based on the symmetric characteristic of both femurs of single person, the anatomic dimensions of non-fractured femur are used as a navigation reference to reconstruct fractured femur. The anatomic dimensions are determined by the proximal and distal femoral frames of non-fractured and fractured femur defined by anatomic characteristics of the femurs. An optical tracker is applied to real-time measure the anatomic dimensions of fractured femur. Utilizing the dimension difference between non-fractured and fractured femur, diaphyseal femoral fracture reduction can be completed.
    An experiment of two different femoral fracture models is applied to verify the performance of image-guided navigation system for diaphyseal femoral fracture reduction surgery. The results show that the distance error of the origin of target frame is about 4mm, axial direction error is less than 6 degrees, and the femoral length error is less than 3mm after reduction.

    摘要 I ABSTRACT II 目錄 III 圖目錄 V 表目錄 VII 第1章 緒論 1 1-1 股骨基本構造 1 1-2 股骨骨折復位手術 2 1-3 研究動機與目的 3 1-4 文獻回顧 4 1-5 研究方法簡介 7 第2章 C-arm影像導引系統 9 2-1 硬體架構 9 2-2 軟體測試 11 2-2-1 黑箱測試-找出臭蟲 12 2-2-2 白箱測試-測試覆蓋率 13 2-2-3 回歸測試 14 第3章 股骨幹骨折復位導引系統 15 3-1 系統流程 15 3-2 系統座標定義 17 3-2-1 建立健側座標系統 18 3-2-2 建立患側座標系統 22 3-3 股骨幹骨折復位 25 3-3-1 建立座標轉換 25 3-3-2 骨折復位導引 27 第4章 實驗結果與討論 30 4-1 C-arm導引系統軟體測試 30 4-1-1 黑箱測試結果 30 4-1-2 白箱測試結果 32 4-1-3 回歸測試結果 35 4-1-4 小結 37 4-2 術前C-arm導引系統精度實驗 37 4-3 股骨模型骨折復位實驗 40 第5章 結論與未來展望 46 5-1 結論 46 5-2 未來展望 46 參考文獻 48

    [1] B. R. Bolhofner, B. Carmen, and P. Clifford, "The results of open reduction and Internal fixation of distal femur fractures using a biologic (indirect) reduction technique," J Orthop Trauma, vol. 10, pp. 372-7, 1996.
    [2] T. P. Ruedi, C. Sommer, and A. Leutenegger, "New techniques in indirect reduction of long bone fractures," Clin Orthop Relat Res, pp. 27-34, Feb 1998.
    [3] M. Leunig, R. Hertel, K. A. Siebenrock, F. T. Ballmer, J. W. Mast, and R. Ganz, "The evolution of indirect reduction techniques for the treatment of fractures," Clin Orthop Relat Res, pp. 7-14, Jun 2000.
    [4] R. Hofstetter, M. Slomczykowski, C. Krettek, G. Koppen, M. Sati, and L. P. Nolte, "Computer-assisted fluoroscopy-based reduction of femoral fractures and antetorsion correction," Comput Aided Surg, vol. 5, pp. 311-25, 2000.
    [5] K. T. Foley, D. A. Simon, and Y. R. Rampersaud, "Virtual Fluoroscopy: Computer-Assisted Fluoroscopic Navigation," Spine, vol. 26, pp. 347-351, 2001.
    [6] R. Mosheiff, Y. Weil, E. Peleg, and M. Liebergall, "Computerised navigation for closed reduction during femoral intramedullary nailing," Injury, vol. 36, pp. 866-70, Jul 2005.
    [7] A. Wilharm, F. Gras, S. Rausch, R. Linder, I. Marintschev, G. O. Hofmann, et al., "Navigation in femoral-shaft fractures--from lab tests to clinical routine," Injury, vol. 42, pp. 1346-52, Nov 2011.
    [8] R. Westphal, S. Winkelbach, T. Gosling, T. Hufner, J. Faulstich, P. Martin, et al., "A surgical telemanipulator for femur shaft fracture reduction," Int J Med Robot, vol. 2, pp. 238-50, Sep 2006.
    [9] R. Westphal, T. Gösling, M. Oszwald, J. Bredow, D. Klepzig, S. Winkelbach, et al., "Robot Assisted Fracture Reduction," in Experimental Robotics. vol. 39, O. Khatib, V. Kumar, and D. Rus, Eds., ed: Springer Berlin Heidelberg, 2008, pp. 153-163.
    [10] R. Westphal, S. Winkelbach, T. Gösling, M. Oszwald, T. Hüfner, C. Krettek, et al., "Automated Robot Assisted Fracture Reduction," in Advances in Robotics Research, T. Kröger and F. Wahl, Eds., ed: Springer Berlin Heidelberg, 2009, pp. 251-262.
    [11] J. G. Seo, B. K. Kim, Y. W. Moon, J. H. Kim, B. H. Yoon, T. K. Ahn, et al., "Bony landmarks for determining the mechanical axis of the femur in the sagittal plane during total knee arthroplasty," Clin Orthop Surg, vol. 1, pp. 128-31, Sep 2009.
    [12] M. Oszwald, R. Westphal, J. Bredow, A. Calafi, T. Hufner, F. Wahl, et al., "Robot-assisted fracture reduction using three-dimensional intraoperative fracture visualization: an experimental study on human cadaver femora," J Orthop Res, vol. 28, pp. 1240-4, Sep 2010.
    [13] L. Joskowicz, C. Milgrom, A. Simkin, L. Tockus, and Z. Yaniv, "FRACAS: a System for Computer-Aided Image-Guided Long Bone Fracture Surgery," Computer Aided Surgery, vol. 3, pp. 271-288, 1998.
    [14] O. Ron, L. Joskowicz, A. Simkin, and C. Milgrom, "Computer-Based Periaxial Rotation Measurement for Aligning Fractured Femur Fragments: Method and Preliminary Results," in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. vol. 2208, W. Niessen and M. Viergever, Eds., ed: Springer Berlin Heidelberg, 2001, pp. 17-23.
    [15] N. W. L. Schep, "Validation of computer assisted anteversion and length control in closed nailing of femoral shaft fractures," in Computer Assisted Orthopaedic and Trauma Surgery, ed, 2003.
    [16] F. Esfandiarpour, G. R. Olyaei, A. S. Rad, F. Farahmand, S. Talebian, M. Makhsous, et al., "Reliability of Determination of Bony Landmarks of the Distal Femur on MR Images and MRI-Based 3D Models," Iranian Journal of Radiology vol. 6, p. 225, Dec 2009.
    [17] G. Zheng, X. Dong, P. A. Grutzner, and L.-P. Nolte, "Automated detection and segmentation of cylindrical fragments from calibrated C-arm images for long bone fracture reduction," Computer Methods and Programs in Biomedicine, vol. 87, pp. 1-11, Jul 2007.
    [18] G. Zheng, X. Dong, and P. A. Gruetzner, "Reality-augmented virtual fluoroscopy for computer-assisted diaphyseal long bone fracture osteosynthesis: a novel technique and feasibility study results," Proc Inst Mech Eng H, vol. 222, pp. 101-15, Jan 2008.
    [19] B. Mahaisavariya, K. Sitthiseripratip, T. Tongdee, E. L. J. Bohez, J. Vander Sloten, and P. Oris, "Morphological study of the proximal femur: a new method of geometrical assessment using 3-dimensional reverse engineering," Medical Engineering & Physics, vol. 24, pp. 617-622, Nov 2002.
    [20] 顏兆萱, "全膝關節置換手術導引系統," 碩士論文, 機械工程研究所, 國立中央大學, 2004.
    [21] 陳彥竹, "應用於股骨長骨骨折回復之C-arm影像輔助手術導引系統," 碩士論文, 機械工程研究所, 國立中央大學, 2007.
    [22] 楊遠祥, "應用於股骨轉子間骨折回復手術之C-arm based 手術導引系統," 碩士論文, 機械工程研究所, 國立中央大學, 2005.
    [23] 吳吉春, "基於C-arm影像的手術導引定位," 碩士論文, 機械工程研究所, 國立中央大學, 2012.
    [24] 謝仁懋, "C-arm影像導引系統於臨床椎弓螺釘植入之應用與改良," 碩士論文, 生物醫學工程研究所, 國立中央大學, 2012.

    QR CODE
    :::