Cranial Implant Design Applying Shape-Based Interpolation Method via Open-Source Software

Reconstructing a large skull defect is a challenge, as it normally involves the use of sophisticated proprietary image processing and expensive CAD software. As an alternative, open-source software can be used for this purpose. This study aimed to compare the 3D cranial implants reconstructed from c...

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Bibliographic Details
Published in:Applied sciences 2021-08, Vol.11 (16), p.7604
Main Authors: Abdullah, Johari Yap, Abdullah, Abdul Manaf, Hueh, Low Peh, Husein, Adam, Hadi, Helmi, Rajion, Zainul Ahmad
Format: Article
Language:English
Subjects:
3D reconstruction
Boolean
Computed tomography
Computer peripherals
Computer programs
cranial implant
craniofacial fracture
Design
Image processing
Implants
Interpolation
Manufacturing
Medical imaging
Medical research
Metric space
Neurosurgery
Open source software
open-source
Patients
Public domain
Skull
Software
Surgery
Transplants & implants
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Summary:Reconstructing a large skull defect is a challenge, as it normally involves the use of sophisticated proprietary image processing and expensive CAD software. As an alternative, open-source software can be used for this purpose. This study aimed to compare the 3D cranial implants reconstructed from computed tomography (CT) images using the open-source MITK software with commercial 3-matic software for ten decompressive craniectomy patients. The shape-based interpolation method was used, in which the technique of segmenting every fifth and tenth slice of CT data was performed. The final design of patient-specific implants from both software was exported to STL format for analysis. The results of the Kruskal–Wallis test for the surface and volume of cranial implants designed using 3-matic and the two MITK techniques showed no significant difference, p > 0.05. The results of the Hausdorff Distance (HD) and Dice Similarity Coefficient (DSC) analyses for cranial implants designed using 3-matic software and the two different MITK techniques showed that the average points distance for 3-matic versus MITK was 0.28 mm (every tenth slice) and 0.15 mm (every fifth slice), and the similarity between 3-matic and MITK on every tenth and fifth slices were 85.1% and 89.7%, respectively. The results also showed that the open-source MITK software is comparable with the commercial software for designing patient-specific implants.
ISSN:2076-3417
2076-3417
DOI:10.3390/app11167604