Cranial Implant Design Through Multiaxial Slice Inpainting Using Deep Learning

Author(s):  
Haochen Shi ◽  
Xiaojun Chen
2021 ◽  
Author(s):  
Yau-Zen Chang ◽  
Chieh-Tsai Wu ◽  
Yao-Hung Yang

Abstract We present a 3D deep learning framework that can generate a complete cranial model using a defective one. The Boolean subtraction between these two models automatically generates the geometry of the implant required for surgical reconstruction. There is little or no need for post-processing to eliminate noise in the implant model generated by the proposed approach. The framework can be used to meet the repair needs of cranial imperfections caused by trauma, congenital defects, plastic surgery, or tumor resection. Traditional implant design methods for skull reconstruction rely on the mirror operation. However, these approaches have great limitations when the defect crosses the plane of symmetry or the patient's skull is asymmetrical. The proposed deep learning framework is based on an enhanced three-dimensional autoencoder. Each training sample for the framework is a pair consisting of a cranial model converted from CT images and a corresponding model with simulated defects on it. Our approach can learn the spatial distribution of the upper part of normal cranial bones and use flawed cranial data to predict its complete geometry. Empirical research on simulated defects and actual clinical applications shows that our framework can meet most of the requirements of cranioplasty.


2021 ◽  
pp. 116-128
Author(s):  
Shashwat Pathak ◽  
Chitimireddy Sindhura ◽  
Rama Krishna Sai S. Gorthi ◽  
Degala Venkata Kiran ◽  
Subrahmanyam Gorthi

2020 ◽  
Vol 13 (4) ◽  
pp. 329-333
Author(s):  
Maurice Y. Mommaerts ◽  
Paul R. Depauw ◽  
Erik Nout

Study Design: Inlay cranioplasties following partial craniectomy in tumor or trauma cases and onlay cranioplasties for reconstructions of residual developmental skull anomalies are frequently performed using CAD-CAM techniques. Objective: In this case series, we present a novel cranial implant design, being a combination of 3D-printed titanium grade 23 and calcium phosphate paste (CeTi). Methods: The titanium patient-specific implant, manufactured using selective laser melting, has a latticed border with interconnected micropores. The cranioplasty is miniscrew fixed and its border zone subsequently partially filled with calcium phosphate paste to promote osteoinduction and osteoconduction. From April 2017 to April 2019, 8 patients have been treated with such a CeTi implant. The inlay cranioplasties were each time revision surgeries of complicated cases. Results: All implants were successful after a limited follow-up time (range 18-42 months). There were no dehiscences and no infections, and no complaints of thermal conduction. Conclusions: The proposed CeTi cranial implant combines the strength of titanium implants with the biological integration potential of ceramic implants and seems particularly resistant to infection, probably due to the biofunctionalized titanium surface and the antimicrobial activity of elevated intracellular free calcium levels.


Data in Brief ◽  
2021 ◽  
Vol 35 ◽  
pp. 106902
Author(s):  
Oldřich Kodym ◽  
Jianning Li ◽  
Antonio Pepe ◽  
Christina Gsaxner ◽  
Sasank Chilamkurthy ◽  
...  

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