NURBS curves with the application of multiple bones fracture reconstruction

Abstract The challenging task of treating trauma to cranio-maxillofacial requires advanced radiological imaging and high clinical skills. The reconstruction of facial fractures focuses on the rehabilitation of patients functionally as well as in aesthetics. In this article we used NURBS curves to construct the multiple bones fracture using CT scan data in Digital Imaging and Communications in Medicine (DICOM) format. The reconstruction process of multiple bones fracture start with the boundary extraction followed by corner detection, optimization of knots, weights, construction of fractured part inner outer curve for each CT scan slice using NURBS curves and finally the construction of fractured part in DICOM format. The construction process using proposed method is based on DICOM data only that does not require any technique such as technical help, mirror imaging, to take average thickness of skull bone or reference skull, etc. The constructed fractured implant is custom made for each patient. We present a real case in which multiple bones fracture has been constructed using NURBS curves. The proposed method has also been validated quantitatively and qualitatively using self supposed fractured data.

[1]  T. Rabczuk,et al.  Extended isogeometric analysis for dynamic fracture in multiphase piezoelectric/piezomagnetic composites , 2016 .

[2]  H. Nguyen-Xuan,et al.  Isogeometric analysis using polynomial splines over hierarchical T-meshes for two-dimensional elastic solids , 2011 .

[3]  T. Q. Bui Extended isogeometric dynamic and static fracture analysis for cracks in piezoelectric materials using NURBS , 2015 .

[4]  Amba D. Bhatt,et al.  Reverse Engineering of Human Body: A B-spline based Heterogeneous Modeling Approach , 2008 .

[5]  Suchendra M. Bhandarkar,et al.  Virtual craniofacial reconstruction using computer vision, graph theory and geometric constraints , 2009, Pattern Recognit. Lett..

[6]  T. Hughes,et al.  Isogeometric analysis : CAD, finite elements, NURBS, exact geometry and mesh refinement , 2005 .

[7]  T. Q. Bui,et al.  Buckling and vibration extended isogeometric analysis of imperfect graded Reissner-Mindlin plates with internal defects using NURBS and level sets , 2016 .

[8]  Richard K. Beatson,et al.  Reconstruction and representation of 3D objects with radial basis functions , 2001, SIGGRAPH.

[9]  Abdul Majeed,et al.  Surface Reconstruction from Parallel Curves with Application to Parietal Bone Fracture Reconstruction , 2016, PloS one.

[10]  Yuri Bazilevs,et al.  Rotation free isogeometric thin shell analysis using PHT-splines , 2011 .

[11]  R. Richards,et al.  Computer assisted surgery: the use of digital images in enabling computerized design and manufacture of titanium implants , 2002 .

[12]  Chong-Ching Chang,et al.  Custom implant design for patients with cranial defects. , 2002, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[13]  Abd Rahni,et al.  Image Reconstruction Using Rational Ball Interpolant and Genetic Algorithm , 2014 .

[14]  Tinh Quoc Bui,et al.  On the thermal buckling analysis of functionally graded plates with internal defects using extended isogeometric analysis , 2016 .

[15]  Richard K. Beatson,et al.  Surface interpolation with radial basis functions for medical imaging , 1997, IEEE Transactions on Medical Imaging.

[16]  Muhammad Sarfraz,et al.  A New Approach to Corner Detection , 2004, ICCVG.

[17]  Hung Nguyen-Xuan,et al.  An isogeometric analysis for elliptic homogenization problems , 2013, Comput. Math. Appl..

[18]  Zhongke Wu,et al.  3D craniofacial reconstruction using reference skull-face database , 2010, 2010 25th International Conference of Image and Vision Computing New Zealand.

[19]  R. U. Gobithaasan,et al.  Craniofacial Reconstruction Using Rational Cubic Ball Curves , 2015, PloS one.

[20]  Sohichi Hirose,et al.  NURBS-based isogeometric analysis of buckling and free vibration problems for laminated composites plates with complicated cutouts using a new simple FSDT theory and level set method , 2016 .

[21]  Paul Suetens,et al.  Craniofacial reconstruction using a combined statistical model of face shape and soft tissue depths: methodology and validation. , 2006, Forensic science international.

[22]  Paul Suetens,et al.  Computerized craniofacial reconstruction using CT-derived implicit surface representations. , 2006, Forensic science international.

[23]  K. Krishnan,et al.  The Application of Rapid Prototyping Techniques in Cranial Reconstruction and Preoperative Planning in Neurosurgery , 2003, The Journal of craniofacial surgery.

[24]  Sven De Greef,et al.  Three-dimensional cranio-facial reconstruction in forensic identification: latest progress and new tendencies in the 21st century. , 2005, Journal of forensic sciences.

[25]  Peter H. Tu,et al.  Automatic Face Recognition from Skeletal Remains , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.