| 研究生: |
蕭諭璟 Hsiao, Yu-Ching |
|---|---|
| 論文名稱: |
遠端股骨骨折骨折塊辨識分離與復位模擬 Fragment Segmentation and Reduction Simulation for Distal Femur Fracture |
| 指導教授: |
方晶晶
Fang, Jing-Jing |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 機械工程學系 Department of Mechanical Engineering |
| 論文出版年: | 2017 |
| 畢業學年度: | 105 |
| 語文別: | 中文 |
| 論文頁數: | 109 |
| 中文關鍵詞: | 遠端股骨骨折 、骨折復位術前模擬 、最近點疊代法 |
| 外文關鍵詞: | distal femur fracture, preoperative simulation, fracture reduction, iterative closest point |
| 相關次數: | 點閱:99 下載:1 |
| 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 |
遠端股骨骨折往往涉及關節面,為使術後膝關節的併發症降至最低,骨折塊復位的準確性是相當重要的。術中為了確認骨折塊復位情況,必須進行多次放射線檢查,不僅增加輻射暴露量,手術時間與失血量都會因此增加,尤其年長者或多重內科疾病患者的手術時間更需要控制。本研究開發應用於遠端股骨骨折復位手術的術前骨折塊辨識分離與復位模擬軟體,以虛擬三維環境進行骨折塊復位,提供醫師於術前瞭解骨折塊的空間關係、移位狀況與旋轉程度,以規劃復位方式。期望在最短時間、最低放射劑量暴露下,達到骨折塊的復位,協助下一階段骨釘骨板的固定。軟體匯入由醫療數位影像傳輸協定(Digital Imaging and Communications in Medicine; DICOM)影像重建後的模型,進行骨折塊分離與復位,以種子點與區域成長法(Region Growing)將分離模型成獨立物件。視分離後的骨折塊為目標物件,鏡射患部對側未骨折之股骨或內建樣板模型為參考物件。經初步對位再以最近點疊代(Iterative Closest Point; ICP)演算法進行細部復位。提供局部區域對位功能,減少運算量,降低點匹配時間,完成遠端股骨骨折復位模擬。實驗驗證復位軟體精度,得平均誤差0.4475±0.2938mm,平均角度誤差1.6366°±1.2716°。根據醫學文獻定義1-2mm為手術後可接受之復位誤差,故本研究之復位模擬誤差應在合理範圍。
Distal femur fracture usually involve the articular surface. To minimize complications associated with the knee joint, accurate fragment reduction is necessary. In order to achieve reduction surgery, multiple radiographic inspections during operation are needed. The X-ray inspections not only increase radiation exposure, but also extend the operation time. To control the operation time for the elders who may have multiple underlying diseases are especially critical. Therefore, we developed a simulation software for distal femur reduction surgery. The surgical planning software was used for multiple fragments reduction in three dimensions, provide the surgeon gain better understandings of the positions of fragments. We aim to rehearsal fracture fragments reduction for distal femur before surgery that may reduce radiation exposure during surgery before fragments fixation on plate by screws.
Distal femur fracture was reconstructed from DICOM imaging and segmented into individual objects by the region growing method. We set the segmented fragments to be the target, mirrored contralateral side to be the reference. In case contralateral femur cannot be obtained, a built-in template model of the intact femur will be used as a reference. After gross reduction process, the iterative closest point algorithm is used for advanced reduction. More restricting conditions are added to reduce computations. The average distance and angular deviations are 0.4475±0.2938mm and 1.6366°±1.2716°, respectively. Based on relevant orthopedic literature, 1mm to 2mm displacement after reduction surgery are acceptable. Therefore, outcomes of the reduction simulation are within the acceptable domain.
[1] Smith, J. R., Halliday, R., Aquilina, A. L., et al., "Distal femoral fractures: the need to review the standard of care," Injury, Vol.46, No.6, pp.1084-1088, 2015.
[2] Court-Brown, C. M. and Caesar, B., "Epidemiology of adult fractures: a review," Injury, Vol.37, No.8, pp.691-697, 2006.
[3] Kammerlander, C., Riedmüller, P., Gosch, M., et al., "Functional outcome and mortality in geriatric distal femoral fractures," Injury, Vol.43, No.7, pp.1096-1101, 2012.
[4] Link, B. and Babst, R., "Current concepts in fractures of the distal femur," Acta Chir Orthop Traumatol Cech, Vol.79, No.1, pp.11-20, 2012.
[5] Stryker, "Computer Assisted Surgery," <http://www.stryker.com/en-us/products/Orthopaedics/ComputerAssistedSurgery/index.htm>, accessed on 25 May 2017.
[6] Besl, P. J. and McKay, N. D., "Method for registration of 3-D shapes," Robotics-DL tentative, pp.586-606, 1992.
[7] Rusinkiewicz, S. and Levoy, M., "Efficient variants of the ICP algorithm," Proceeding of Third International Conference on 3-D Digital Imaging and Modeling, pp.145-152, 2001.
[8] Du, S., Zheng, N., Ying, S., et al., "An extension of the ICP algorithm considering scale factor," Proceeding of IEEE International Conference on Image Processing, pp.V-193-V-196, 2007.
[9] Wikipedia, "Singular value decomposition," <https://en.wikipedia.org/wiki/Singular_value_decomposition>, accessed on 6 February 2017.
[10] Golub, G. H. and Reinsch, C., "Singular value decomposition and least squares solutions," Numerische mathematik, Vol.14, No.5, pp.403-420, 1970.
[11] Chetverikov, D., Svirko, D., Stepanov, D., et al., "The trimmed iterative closest point algorithm," Proceeding of 16th International Conference on Pattern Recognition, pp.545-548, 2002.
[12] Chetverikov, D., Stepanov, D., and Krsek, P., "Robust Euclidean alignment of 3D point sets: the trimmed iterative closest point algorithm," Image and Vision Computing, Vol.23, No.3, pp.299-309, 2005.
[13] Jiménez-Delgado, J. J., Paulano-Godino, F., PulidoRam-Ramírez, R., et al., "Computer assisted preoperative planning of bone fracture reduction: Simulation techniques and new trends," Medical image analysis, Vol.30, pp.30-45, 2016.
[14] Citak, M., Gardner, M. J., Kendoff, D., et al., "Virtual 3D planning of acetabular fracture reduction," Journal of Orthopaedic Research, Vol.26, No.4, pp.547-552, 2008.
[15] Zheng, X., Zhang, G., Huang, H., et al., "The fast virtual limbs fracture reduction using three-dimensional editing," Chinese Journal of Clinicians, Vol.9, No.4, pp.617-622, 2015.
[16] Materialise, "Mimics®," <http://www.materialise.com/en/medical/software/mimics>, accessed on 4 February 2017.
[17] Citak, M., Citak, M., Kendoff, D., et al., "Estimation of pretraumatic femoral antetorsion in bilateral femoral shaft fractures," Skeletal radiology, Vol.38, No.12, p.1183, 2009.
[18] Suero, E. M., Hüfner, T., Stübig, T., et al., "Use of a virtual 3D software for planning of tibial plateau fracture reconstruction," Injury, Vol.41, No.6, pp.589-591, 2010.
[19] IVS Technology, "VoXim® osteo," <http://www.ivs-technology.de/en/osteo.php>, accessed on 6 February 2017.
[20] Fornaro, J., Székely, G., and Harders, M., "Semi-automatic segmentation of fractured pelvic bones for surgical planning," International Symposium on Biomedical Simulation, pp.82-89, 2010.
[21] Paulano, F., Jiménez, J. J., and Pulido, R., "3D segmentation and labeling of fractured bone from CT images," The Visual Computer, Vol.30, No.6-8, pp.939-948, 2014.
[22] Chen, Y., Qiang, M., Zhang, K., et al., "Novel computer‐assisted preoperative planning system for humeral shaft fractures: report of 43 cases," The International Journal of Medical Robotics and Computer Assisted Surgery, Vol.11, No.2, pp.109-119, 2015.
[23] Cimerman, M. and Kristan, A., "Preoperative planning in pelvic and acetabular surgery: the value of advanced computerised planning modules," Injury, Vol.38, No.4, pp.442-449, 2007.
[24] Hu, Y., Li, H., Qiao, G., et al., "Computer-assisted virtual surgical procedure for acetabular fractures based on real CT data," Injury, Vol.42, No.10, pp.1121-1124, 2011.
[25] Fornaro, J., Keel, M., Harders, M., et al., "An interactive surgical planning tool for acetabular fractures: initial results," Journal of orthopaedic surgery and research, Vol.5, No.1, p.50, 2010.
[26] Zeng, C., Xing, W., Wu, Z., et al., "A combination of three-dimensional printing and computer-assisted virtual surgical procedure for preoperative planning of acetabular fracture reduction," Injury, Vol.47, No.10, pp.2223-2227, 2016.
[27] Winkelbach, S., Westphal, R., and Goesling, T., "Pose estimation of cylindrical fragments for semi-automatic bone fracture reduction," Joint Pattern Recognition Symposium, pp.566-573, 2003.
[28] Chowdhury, A. S., Bhandarkar, S. M., Robinson, R. W., et al., "Virtual craniofacial reconstruction from computed tomography image sequences exhibiting multiple fractures," Proceeding of IEEE International Conference on Image Processing, pp.1173-1176, 2006.
[29] Paulano-Godino, F. and Jiménez-Delgado, J. J., "Identification of fracture zones and its application in automatic bone fracture reduction," Computer Methods and Programs in Biomedicine, 2016.
[30] Okada, T., Iwasaki, Y., Koyama, T., et al., "Computer-assisted preoperative planning for reduction of proximal femoral fracture using 3-D-CT data," IEEE Transactions on Biomedical Engineering, Vol.56, No.3, pp.749-759, 2009.
[31] Fürnstahl, P., Székely, G., Gerber, C., et al., "Computer assisted reconstruction of complex proximal humerus fractures for preoperative planning," Medical image analysis, Vol.16, No.3, pp.704-720, 2012.
[32] Albrecht, T. and Vetter, T., "Automatic fracture reduction," Workshop on Mesh Processing in Medical Image Analysis, pp.22-29, 2012.
[33] Thomas, T. P., Anderson, D. D., Willis, A. R., et al., "A computational/experimental platform for investigating three-dimensional puzzle solving of comminuted articular fractures," Computer methods in biomechanics and biomedical engineering, Vol.14, No.03, pp.263-270, 2011.
[34] Moghari, M. H. and Abolmaesumi, P., "Global registration of multiple bone fragments using statistical atlas models: feasibility experiments," Proceeding of 30th Annual International Conference of the IEEE on Engineering in Medicine and Biology Society, pp.5374-5377, 2008.
[35] Marieb, E. N. and Hoehn, K., Human anatomy & physiology, Pearson Education, 2007.
[36] Martinet, O., Cordey, J., Harder, Y., et al., "The epidemiology of fractures of the distal femur," Injury, Vol.31, pp.62-63, 81, 86, 90, 94, 2000.
[37] Neer, C. S., Grantham, S. A., and Shelton, M. L., "Supracondylar fracture of the adult femur," J Bone Joint Surg Am, Vol.49, No.4, pp.591-613, 1967.
[38] Seinsheimer III, F., "Fractures of the distal femur," Clinical orthopaedics and related research, Vol.153, pp.169-179, 1980.
[39] Egund, N. and Kolmert, L., "Deformities, gonarthrosis and function after distal femoral fractures," Acta Orthopaedica Scandinavica, Vol.53, No.6, pp.963-974, 1982.
[40] Müller, M. E., Nazarian, S., Koch, P., et al., The comprehensive classification of fractures of long bones, Springer Science & Business Media, 2012.
[41] Butt, M., Krikler, S., and Ali, M., "Displaced fractures of the distal femur in elderly patients," The Journal of Bone and Joint Surgery, Vol.78, pp.110-118, 1996.
[42] Forster, M., Komarsamy, B., and Davison, J., "Distal femoral fractures: a review of fixation methods," Injury, Vol.37, No.2, pp.97-108, 2006.
[43] Ehlinger, M., Ducrot, G., Adam, P., et al., "Distal femur fractures. Surgical techniques and a review of the literature," Orthopaedics & Traumatology: Surgery & Research, Vol.99, No.3, pp.353-360, 2013.
[44] Zlowodzki, M., Bhandari, M., Marek, D. J., et al., "Operative Treatment of Acute Distal Femur Fractures: Systematic Review of 2 Comparative Studies and 45 Case Series (1989 to 2005)," Journal of Orthopaedic Trauma, Vol.20, No.5, pp.366-371, 2006.
[45] Wikipedia, "Hash function," <https://en.wikipedia.org/wiki/Hash_function>, accessed on 3 February 2017.
[46] Ellis Horowitz, S. S., Susan Anderson-Freed著; 蔡錫鈞、戴顯權譯, 基礎資料結構:使用C, 開發圖書有限公司, 2008.
[47] Wikipedia, "Red-black tree," <https://en.wikipedia.org/wiki/Red%E2%80%93black_tree>, accessed on 14 February 2017.
[48] Wikipedia, "K-d tree," <https://en.wikipedia.org/wiki/K-d_tree>, accessed on 24 March 2017.
[49] Li, Z., Ning, X., and Wang, Z., "A fast segmentation method for STL teeth model," Proceeding of IEEE/ICME International Conference on Complex Medical Engineering, pp.163-166, 2007.
[50] Baek, S. Y., Wang, J. H., Song, I., et al., "Automated bone landmarks prediction on the femur using anatomical deformation technique," Computer-Aided Design, Vol.45, No.2, pp.505-510, 2013.
[51] Phan, C. B. and Koo, S., "Predicting anatomical landmarks and bone morphology of the femur using local region matching," International journal of computer assisted radiology and surgery, Vol.10, No.11, pp.1711-1719, 2015.
[52] Yang, D., Zhang, S., Yan, Z., et al., "Automated anatomical landmark detection ondistal femur surface using convolutional neural network," Proceeding of IEEE 12th International Symposium on Biomedical Imaging, pp.17-21, 2015.
[53] Arun, K. S., Huang, T. S., and Blostein, S. D., "Least-squares fitting of two 3-D point sets," IEEE Transactions on pattern analysis and machine intelligence, No.5, pp.698-700, 1987.
[54] Gautier, E. and Pesantez, R. F., AO Foundation, "General reduction techniques," <https://www2.aofoundation.org/wps/portal/!ut/p/a0/04_Sj9CPykssy0xPLMnMz0vMAfGjzOKN_A0M3D2DDbz9_UMMDRyDXQ3dw9wMDAx8jfULsh0VAdAsNSU!/?BackMode=true&bone=Femur&contentUrl=%2Fsrg%2Fpopup%2Ffurther_reading%2FPFxM2%2F311_1-22-Surg_red-gen_red_tech.jsp&popupStyle=diagnosis&segment=Distal&soloState=true>, accessed on 25 May 2017.
[55] Wikipedia, "Kruskal–Wallis one-way analysis of variance," <https://en.wikipedia.org/wiki/Kruskal%E2%80%93Wallis_one-way_analysis_of_variance>, accessed on 4 June 2017.
校內:2022-09-01公開