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3D skull reconstruction method and procedure

Technology #2016-272

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Researchers
Associate Professor Leow Wee Kheng
External Link (www.comp.nus.edu.sg)
Managed By
Ms Asha Srinivasan
Associate Director (65)65161671
Patent Protection

Provisional Patent Application Filed
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Tech Offer 2016-272 3D Reconstruction [PDF]

Robust and accurate method for 3D reconstruction of defective skulls for surgery planning, forensics and anthropology studies

Market Context

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.

Approach

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

Applications:

  1. Any 3D modeling software tool that provides the added functionality of robust and accurate non-rigid registration of complex 3D models.
  2. Any 3D segmentation tool that segments volume images such as CT and MRI in three dimensions simultaneously.
  3. Reconstruction of subject’s normal skulls from defective skulls for pre-operative planning of craniomaxillofacial (CMF) surgery, forensic investigation and anthropological study.
  4. Reconstruction of subject’s face model from skull model for CMF surgery planning, forensic investigation and anthropological study.
  5. Training of CMF surgeons in precision planning and execution of the plan in the operating theater.
  6. Modeling of implants for CMF surgery.

The algorithm has the following advantages over existing methods:

  1. It is far more accurate than existing methods in non-rigid registration. Moreover, it is also robust to outliers such as x-ray metal artifacts.
  2. 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.
  3. 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.

Keywords

Non-rigid registration, 3D model reconstruction, flip-avoiding interpolating surface, CMF surgery planning

ILO Reference:

2016-272

IP status

Provisional patent application filed on 6th December 2016

Technology Readiness Level

Fully functional prototype

Principal Inventor

Associate Professor Leow Wee Kheng (https://www.comp.nus.edu.sg/~leowwk/)

Technology Manager

Asha Srinivasan

Email: asha.srinivasan@nus.edu.sg

Phone: +65-65161671