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https://github.com/hollobit/medical3dp-sw-evaluation
Standard Phantom for Medical 3D printing modeling software evaluation
https://github.com/hollobit/medical3dp-sw-evaluation
3d 3d-modelling 3d-printing 3d-reconstruction ct-images ct-scan-images medical-image-analysis medical-image-processing medical-image-segmentation medical-imaging
Last synced: 18 days ago
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Standard Phantom for Medical 3D printing modeling software evaluation
- Host: GitHub
- URL: https://github.com/hollobit/medical3dp-sw-evaluation
- Owner: hollobit
- Created: 2023-08-24T11:34:08.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-01T10:32:49.000Z (over 1 year ago)
- Last Synced: 2024-11-16T05:13:49.128Z (3 months ago)
- Topics: 3d, 3d-modelling, 3d-printing, 3d-reconstruction, ct-images, ct-scan-images, medical-image-analysis, medical-image-processing, medical-image-segmentation, medical-imaging
- Language: JavaScript
- Homepage: https://hollobit.github.io/Medical3DP-SW-Evaluation/
- Size: 85.3 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Medical3DP-SW-Evaluation
It's the official repository of the EYC standard phantom for Medical 3D printing modeling software performance evaluation.
## :arrow_right: Abstract
This project aims to develop and standardize Phantom for Medical 3D Printing Software Performance Evaluation.
## :blue_book: Standards and Guidelines for evaluation
* Internation Standard
* Domestic Standard
* MFDS Guideline
* [의료기기 - 3D 프린팅 의료기기 모델링 절차 검증방법 정보자료집](https://www.nifds.go.kr/brd/m_18/view.do?seq=12739&srchFr=&srchTo=&srchWord=&srchTp=&itm_seq_1=0&itm_seq_2=0&multi_itm_seq=0&company_cd=&company_nm=&page=1) (Published 2023-11-01)## :open_file_folder: DICOM CT Data for self-testing
These DICOM data are open data released for self-testing. Using this data and the procedures and methods specified in the standard test methods, it is possible to evaluate the Medical 3D printing modeling SW's precision/accuracy performance.
You can check the meta information of the phantom from these DICOM fields.
* [EYC Phantom V4 #1 Mandible](/DICOM/Phantom_V4_1_Mandible) (40MB)
* [EYC Phantom V4 #3 Cone](/DICOM/Phantom_V4_3_Cone) (42MB)## :heavy_exclamation_mark: Data License
Shield: [![CC BY-NC-ND 4.0][cc-by-nc-nd-shield]][cc-by-nc-nd]
These data are licensed under a
[Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License][cc-by-nc-nd].[![CC BY-NC-ND 4.0][cc-by-nc-nd-image]][cc-by-nc-nd]
[cc-by-nc-nd]: http://creativecommons.org/licenses/by-nc-nd/4.0/
[cc-by-nc-nd-image]: https://licensebuttons.net/l/by-nc-nd/4.0/88x31.png
[cc-by-nc-nd-shield]: https://img.shields.io/badge/License-CC%20BY--NC--ND%204.0-lightgrey.svgAny commercial use should get formal permission first.
## :clap: Acknowledgement & Disclosure
This research was supported by a grant (21174MFDS224) from the Ministry of Food and Drug Safety in 2021-2023.
This project was carried out as a joint research project by the MFDS([Ministry of Food and Drug Safety](https://mfds.go.kr/eng/index.do)) and [ETRI](https://www.etri.re.kr/eng/main/main.etri), and the research participating institutions included [Yonsei University](https://www.yonsei.ac.kr/en_sc/), [Coreline Soft](https://www.corelinesoft.com/en/), and [Seoul Women's University](https://www.swu.ac.kr/englishindex.do) to develop the phantom and standard.
This repository is maintained by [Jonghong Jeon](https://hollobit.github.io).
## :fire: Contributors
The project was made possible with the help of many contributors (alphabetical):
Chanmi Yeon, Chunil Lim, Helen Hong, Jonghong Jeon, Jongseon Park, Kyuwon Shim, , Semyeong Jang, Seungho Son
## :book: Citation
## :postbox: Contact
If you have any question, please feel free to contact us via '[email protected]'.