TY - JOUR
T1 - Using three-dimensional multigrid-based snake and multiresolution image registration for reconstruction of cranial defect
AU - Liao, Yuan Lin
AU - Lu, Chia Feng
AU - Wu, Chieh Tsai
AU - Lee, Jiann Der
AU - Lee, Shih Tseng
AU - Sun, Yung Nien
AU - Wu, Yu Te
N1 - Funding Information:
Acknowledgments The authors express appreciation to Fu-Jung Chen in Medical Augmented Reality Research Center, Chang Gung Memorial Hospital for help acquiring the phantom data. Our gratitude also goes to E. William Thornton and Bill Thornton of Wallace Academic Editing for his assistance in English language editing. This work is funded by the Technology Development Program for Academia of Department of Industrial Technology, Ministry of Economic Affairs (97-EC-17-A-19-S1-035, 98-EC-17-A-19-S1-035, and 99-EC-17-A-19-S1-035), National Science Council (NSC100-2221-E-010-009, NSC98-2221-E-182-040-MY3, NSC100-2321-B-010-003, and NSC101-2221-E-010-004-MY2), NSC support for the Center for Dynamical Biomarkers and Translational Medicine, National Central University (NSC100-2911-I-008-001), and Brain Research Center, National Yang-Ming University and a grant from Ministry of Education, Aim for the Top University Plan (101AC-B902).
PY - 2013/2
Y1 - 2013/2
N2 - In cranioplasty, neurosurgeons use bone grafts to repair skull defects. To ensure the protection of intracranial tissues and recover the original head shape for aesthetic purposes, a custom-made pre-fabricated prosthesis must match the cranial incision as closely as possible. In our previous study (Liao et al. in Med Biol Eng Comput 49:203-211, 2011), we proposed an algorithm consisting of the 2D snake and image registration using the patient's own diagnostic low-resolution and defective high-resolution computed tomography (CT) images to repair the impaired skull. In this study, we developed a 3D multigrid snake and employed multiresolution image registration to improve the computational efficiency. After extracting the defect portion images, we designed an image-trimming process to remove the bumped inner margin that can facilitate the placement of skull implants without manual trimming during surgery. To evaluate the performance of the proposed algorithm, a set of skull phantoms were manufactured to simulate six different conditions of cranial defects, namely, unilateral, bilateral, and cross-midline defects with 20 or 40 % skull defects. The overall image processing time in reconstructing the defect portion images can be reduced from 3 h to 20 min, as compared with our previous method. Furthermore, the reconstruction accuracies using the 3D multigrid snake were superior to those using the 2D snake.
AB - In cranioplasty, neurosurgeons use bone grafts to repair skull defects. To ensure the protection of intracranial tissues and recover the original head shape for aesthetic purposes, a custom-made pre-fabricated prosthesis must match the cranial incision as closely as possible. In our previous study (Liao et al. in Med Biol Eng Comput 49:203-211, 2011), we proposed an algorithm consisting of the 2D snake and image registration using the patient's own diagnostic low-resolution and defective high-resolution computed tomography (CT) images to repair the impaired skull. In this study, we developed a 3D multigrid snake and employed multiresolution image registration to improve the computational efficiency. After extracting the defect portion images, we designed an image-trimming process to remove the bumped inner margin that can facilitate the placement of skull implants without manual trimming during surgery. To evaluate the performance of the proposed algorithm, a set of skull phantoms were manufactured to simulate six different conditions of cranial defects, namely, unilateral, bilateral, and cross-midline defects with 20 or 40 % skull defects. The overall image processing time in reconstructing the defect portion images can be reduced from 3 h to 20 min, as compared with our previous method. Furthermore, the reconstruction accuracies using the 3D multigrid snake were superior to those using the 2D snake.
UR - http://www.scopus.com/inward/record.url?scp=84874654674&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874654674&partnerID=8YFLogxK
U2 - 10.1007/s11517-012-0972-y
DO - 10.1007/s11517-012-0972-y
M3 - Article
C2 - 23076880
AN - SCOPUS:84874654674
VL - 51
SP - 89
EP - 101
JO - Medical and Biological Engineering and Computing
JF - Medical and Biological Engineering and Computing
SN - 0140-0118
IS - 1-2
ER -