Skull Defect
Conditions
Keywords
Deep Neural Networks;3D Shape Inpainting
Brief summary
This project aims to develop an effective deep learning system to generate numerical implant geometry based on 3D defective skull models from CT scans. This technique is beneficial for the design of implants to repair skull defects above the Frankfort horizontal plane.
Detailed description
Designing a personalized implant to restore the protective and aesthetic functions of the patient's skull is challenging. The skull defects may be caused by trauma, congenital malformation, infection, and iatrogenic treatments such as decompressive craniectomy, plastic surgery, and tumor resection. The project aims to develop a deep learning system with 3D shape reconstruction capabilities. The system will meet the requirement of designing high-resolution 3D implant numerical models efficiently. A collection of skull images were used for training the deep learning system. Defective models in the datasets were created by numerically masking areas of intact 3D skull models. The final implant design should be verified by neurosurgeons using 3D printed models.
Interventions
DEVICE3D deep learning neural network system
With the consent of the patient, we will assist in the production of images of 3D defect blocks for free (3D deep learning neural network system (3D DNN) system process planning), complete the repair and reconstruction under the clinical routine surgery, and track the repair results after surgery. meet medical needs.
Sponsors
Ministry of Science and Technology, Taiwan
Chang Gung Memorial Hospital
Study design
Observational model
CASE_ONLY
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
15 Years to 80 Years
Healthy volunteers
No
Inclusion criteria
1. Scheduled for cranioplasty 2. Informed consent
Exclusion criteria
(1)No informed consent
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Number of patients where there is no need to adapt the Patient Specific Implant (PSI) edges | 6 weeks after surgery by standardised questionnaire | Number of patients where there is no need to adapt the Patient Specific Implant (PSI) edges |
| Number of patients where there is no need to augment/fill clefts between the Patient Specific Implant (PSI) and patient´s bone | 6 weeks after surgery by standardised questionnaire | Number of patients where there is no need to augment/fill clefts between the Patient Specific Implant (PSI) and patient´s bone |
Countries
Taiwan
Contacts
Primary ContactYau-zen chang
Outcome results
None listed