3D skull reconstruction method and procedureTechnology #2016-272
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- Associate Professor Leow Wee Kheng External Link (www.comp.nus.edu.sg)
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- Ms Asha Srinivasan (firstname.lastname@example.org) Associate Director (65)65161671
- Patent Protection
- Provisional Patent Application Filed
Robust and accurate method for 3D reconstruction of defective skulls for surgery planning, forensics and anthropology studies
Human skulls are very important target objects in craniomaxillofacial surgery planning, forensic investigation and physical anthropological study. Often times, these skulls are defective, deformed or damaged and need to be reconstructed. Existing methods of skull reconstruction are tedious and time-consuming. There is no automatic, convenient and accurate method for reconstructing normal skulls from fractured, incomplete and deformed skulls.
Our invention comprises a novel algorithm for robust and accurate non-rigid registration of complex 3D models with flip-avoiding interpolating surface and a procedure for reconstructing the normal 3D skull model from a subject’s defective skull for craniomaxillofacial surgery planning, forensic investigation and anthropological study.
Application and advantages
Any 3D modeling software tool that provides the added
functionality of robust and accurate non-rigid registration of complex 3D
Any 3D segmentation tool that segments volume images such as
CT and MRI in three dimensions simultaneously.
Reconstruction of subject’s normal skulls from defective
skulls for pre-operative planning of craniomaxillofacial (CMF) surgery,
forensic investigation and anthropological study.
Reconstruction of subject’s face model from skull model for
CMF surgery planning, forensic investigation and anthropological study.
Training of CMF surgeons in precision planning and execution
of the plan in the operating theater.
Modeling of implants for CMF surgery.
The algorithm has the following advantages over existing methods:
It is far more accurate than existing methods in non-rigid
registration. Moreover, it is also robust to outliers such as x-ray metal
The algorithm can handle bilaterally defective skulls
because of the nature of geometric reconstruction. This overcomes the
limitation of symmetry-based methods which are applicable only to skulls with
defects on one side.
A few reference models may be enough to accurately
reconstructing all target models, which overcomes the limitation of statistical
methods that require a large number of reference models for training.
Non-rigid registration, 3D model reconstruction, flip-avoiding interpolating surface, CMF surgery planning
Provisional patent application filed on 6th December 2016
Technology Readiness Level
Fully functional prototype
Associate Professor Leow Wee Kheng (https://www.comp.nus.edu.sg/~leowwk/)