Three-dimensional reconstruction of cranial defect using active contour model and image registration

In neurosurgery, cranial incisions during craniotomy can be recovered by cranioplasty—a surgical operation using cranial implants to repair skull defects. However, surgeons often encounter difficulties when grafting prefabricated cranial plates into defective areas, since a perfect match to the cranial incision is difficult to achieve. Previous studies using mirroring technique, surface interpolation, or deformed template had limitations in skull reconstruction to match the patient’s original appearance. For this study, we utilized low-resolution and high-resolution computed tomography images from the patient to repair skull defects, whilst preserving the original shape. Since the accuracy of skull reconstruction was associated with the partial volume effects in the low-resolution images and the percentage of the skull defect in the high-resolution images, the low-resolution images with intact skull were resampled and thresholded followed by active contour model to suppress partial volume artifacts. The resulting low-resolution images were registered with the high-resolution ones, which exhibited different percentages of cranial defect, to extract the incised cranial part. Finally, mesh smoothing refined the three-dimensional model of the cranial defect. Simulation results indicate that the reconstruction was 93.94% accurate for a 20% skull material removal, and 97.76% accurate for 40% skull material removal. Experimental results demonstrate that the proposed algorithm effectively creates a customized implant, which can readily be used in cranioplasty.

[1]  Yang Zhang,et al.  Fabrication of Repairing Skull Bone Defects Based on the Rapid Prototyping , 2009 .

[2]  Rolf Adams,et al.  Seeded Region Growing , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  René M. Botnar,et al.  Automatic vessel segmentation using active contours in cine phase contrast flow measurements , 1999, Journal of magnetic resonance imaging : JMRI.

[4]  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.

[5]  C. Schirmer,et al.  Decompressive Craniectomy , 2008, Neurocritical care.

[6]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Yutaka Ohtake,et al.  Mesh regularization and adaptive smoothing , 2001, Comput. Aided Des..

[8]  S. Lee,et al.  Cranioplasty using polymethyl methacrylate prostheses , 2009, Journal of Clinical Neuroscience.

[9]  P. Kirkpatrick,et al.  Surgery for brain edema. , 2007, Neurosurgical focus.

[10]  Laurent D. Cohen,et al.  On active contour models and balloons , 1991, CVGIP Image Underst..

[11]  Ting Wu,et al.  Anatomically Constrained Deformation for Design of Cranial Implant: Methodology and Validation , 2006, MICCAI.

[12]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[13]  Gunilla Borgefors,et al.  Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  H. Sommer,et al.  Superquadric modeling of cranial and cerebral shape and asymmetry. , 2006, American journal of physical anthropology.

[15]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[16]  David Dean,et al.  Deformable templates for pre-operative computer-aided design and fabrication of large cranial implants , 2003, CARS.

[17]  E Maravelakis,et al.  Reverse engineering techniques for cranioplasty: a case study , 2008, Journal of medical engineering & technology.

[18]  M. Hill,et al.  Decompressive Hemicraniectomy for Malignant Middle Cerebral Artery Infarction: An Update , 2009, The neurologist.

[19]  F. A. Seiler,et al.  Numerical Recipes in C: The Art of Scientific Computing , 1989 .

[20]  Guido Gerig,et al.  User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.

[21]  Lee Heow Pueh,et al.  Automatic Hole Repairing for Cranioplasty Using Bézier Surface Approximation , 2005, The Journal of craniofacial surgery.

[22]  C. Pelizzari,et al.  Accurate Three‐Dimensional Registration of CT, PET, and/or MR Images of the Brain , 1989, Journal of computer assisted tomography.

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

[24]  D. Manawadu,et al.  Hemicraniectomy for Massive Middle Cerebral Artery Infarction: A Review , 2008, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

[25]  Jiann-Der Lee,et al.  Skull-based registration of intra-subject CT images: The effects of different resolutions and partial contents , 2010, 2010 International Conference on Bioinformatics and Biomedical Technology.

[26]  Haiying Liu,et al.  Measurement and analysis of brain deformation during neurosurgery , 2003, IEEE Transactions on Medical Imaging.

[27]  Quanli Li,et al.  Chitosan/Alginate Multilayer Scaffold Encapsulating Bone Marrow Stromal Cells In Situ on Titanium , 2009 .

[28]  Guy Marchal,et al.  Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.

[29]  Nicholas Ayache,et al.  The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration , 1998, MICCAI.

[30]  William H. Press,et al.  The Art of Scientific Computing Second Edition , 1998 .

[31]  D. Hill,et al.  Medical image registration , 2001, Physics in medicine and biology.