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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| Format: | Article |
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MDPI AG
2021-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/16/7604 |
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| author | Johari Yap Abdullah Abdul Manaf Abdullah Low Peh Hueh Adam Husein Helmi Hadi Zainul Ahmad Rajion |
| author_facet | Johari Yap Abdullah Abdul Manaf Abdullah Low Peh Hueh Adam Husein Helmi Hadi Zainul Ahmad Rajion |
| author_sort | Johari Yap Abdullah |
| collection | DOAJ |
| description | 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, <i>p</i> > 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. |
| first_indexed | 2024-03-10T09:01:31Z |
| format | Article |
| id | doaj.art-8ef09cc1dd384728b9a4b98f65f5109d |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T09:01:31Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-8ef09cc1dd384728b9a4b98f65f5109d2023-11-22T06:44:13ZengMDPI AGApplied Sciences2076-34172021-08-011116760410.3390/app11167604Cranial Implant Design Applying Shape-Based Interpolation Method via Open-Source SoftwareJohari Yap Abdullah0Abdul Manaf Abdullah1Low Peh Hueh2Adam Husein3Helmi Hadi4Zainul Ahmad Rajion5School of Dental Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, MalaysiaSchool of Dental Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, MalaysiaDepartment of Neurosurgery, Sarawak General Hospital, Kuching 93586, Sarawak, MalaysiaSchool of Dental Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, MalaysiaSchool of Health Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, MalaysiaKulliyyah of Dentistry, IIUM Kuantan, Jalan Sultan Ahmad Shah, Bandar Indera Mahkota, Kuantan 25200, Pahang, MalaysiaReconstructing 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, <i>p</i> > 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.https://www.mdpi.com/2076-3417/11/16/7604cranial implantopen-sourceimage processing3D reconstructioncraniofacial fracture |
| spellingShingle | Johari Yap Abdullah Abdul Manaf Abdullah Low Peh Hueh Adam Husein Helmi Hadi Zainul Ahmad Rajion Cranial Implant Design Applying Shape-Based Interpolation Method via Open-Source Software Applied Sciences cranial implant open-source image processing 3D reconstruction craniofacial fracture |
| title | Cranial Implant Design Applying Shape-Based Interpolation Method via Open-Source Software |
| title_full | Cranial Implant Design Applying Shape-Based Interpolation Method via Open-Source Software |
| title_fullStr | Cranial Implant Design Applying Shape-Based Interpolation Method via Open-Source Software |
| title_full_unstemmed | Cranial Implant Design Applying Shape-Based Interpolation Method via Open-Source Software |
| title_short | Cranial Implant Design Applying Shape-Based Interpolation Method via Open-Source Software |
| title_sort | cranial implant design applying shape based interpolation method via open source software |
| topic | cranial implant open-source image processing 3D reconstruction craniofacial fracture |
| url | https://www.mdpi.com/2076-3417/11/16/7604 |
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