Application of 3D-Modeling in Medicine in Preparation for 3D-Printing
Abstract
3D-modeling in the medical field can be used to create medical models (eg, tissues and human organs) using 3D-printing or used for digital 3D visualization of the necessary structures. Medical 3D-printing is used when the work on prostheses that should perfectly match the patient's anatomy is needed. In addition, thanks to 3D-modeling technology, it is possible to develop peculiar medical tools. It is also possible to perform trial surgeries on 3D-models before the actual operation. There is special software for creating medical 3D-models for further printing. The purpose of this work is to determine the functions of 3D-modeling in preparation for 3D-printing in the process of creating medical models and comparative analysis of software for 3D-modeling used in the medical field. There is a common workflow that can be used to convert volumetric medical imaging data (created by computer tomography (CT), or other imaging techniques) into physical models printed on a 3D-printer. This process is divided into three stages: image segmentation, polygon mesh refinement, and 3D-printing. 3D-modeling programs are used at the stage of polygon mesh refinement. They allow almost unlimited manipulations to refine the mesh to make the model printable. The main manipulations for post-processing of a segmented model using 3D modeling are: 1) reparation - correction of errors and discrepancies that sometimes occur in the process of segmentation and images export; 2) smoothing - correction of errors that occur during segmentation due to inappropriate resolution of the original medical image via softening by smoothing the surface of the model; 3) adding elements - combining a segmented model with other structures or removing unnecessary parts from the segmentation. As a result of a comparative analysis of 3D-modeling software used in the medical field, it was found that for 3D-modeling can be used software specifically designed for medical 3D-modeling and regular 3D-modeling software. When using regular software, you need third-party software to get the correct model file format. The choice of software depends on the goal: to work with implants and create patient-specific devices, it is possible to use specially designed programs for these purposes, such as Within Medical and Medical Design Studio; if high accuracy is required, it is possible to use D2P created for working with DICOM-images at the image segmentation stage; to achieve fast results, when maintaining of maximum accuracy is not needed, a mobile version of the software, such as Ossa 3D, can be used; common 3D-modeling software, such as Cinema 4D and Blender, can be used to develop peculiar tools and medical equipment.
Keywords
License
This work is openly licensed — share and adapt freely with attribution to the authors and the journal. View license terms ↗
Copyright (c) 2026 Наталія Юріївна Оникієнко (Автор)
Similar Articles
- Vadym Serhiiovych Baran, Software analysis to create 360 - degree video , Electronic and Acoustic Engineering: Vol. 2 No. 2 (2019)
- Yin Chenlyan, Omelianets Oleksandra Oleksandrivna, Volodymyr Semenovych Lazebnyi, Investigation of the features of the distribution of informational video streams over 802.11 networks , Electronic and Acoustic Engineering: Vol. 2 No. 2 (2019)
- Olha O. Tytarenko, Volodymyr Vasyliovych Makarenko, The analysis of the single-crystal transceivers work in the range of ISM for IoT systems , Electronic and Acoustic Engineering: Vol. 2 No. 3 (2019)
- Oleksandr Viktorovych Shtykalo, Liudmyla Mykolaivna Shmyrova, Oleksandr Borysovych Sidniev, Tetiana Viktorivna Semikina, Modeling in Software Environments for the Study of the Physical Properties of Ferromagnets , Electronic and Acoustic Engineering: Vol. 3 No. 4 (2020)
- Serhii Anatoliiovych Naida, Valeriia V. Bezrodna, Human inner ear cochlea in a long line modeling , Electronic and Acoustic Engineering: Vol. 1 No. 1 (2018)
- Roman Victorovych Sukach, Kateryna Serhiivna Klen, The simulation of cloud cover using the diamond-square algorithm , Electronic and Acoustic Engineering: Vol. 2 No. 1 (2019)
- Vladyslav Vitaliiovych Mazharenko, Pavlo Vasyliovych Popovych, Analysis of the use of FreeSWITCH in IP telephony networks , Electronic and Acoustic Engineering: Vol. 2 No. 2 (2019)
- Kyrylo D. Koltunov, Efficient Control of Household Water Heating Devices Based on the Arduino Microprocessor Platform , Electronic and Acoustic Engineering: Vol. 4 No. 3 (2021)
- Sofiia Olehivna Pavlova, Virtual Environmental Monitoring Laboratory , Electronic and Acoustic Engineering: Vol. 3 No. 4 (2020)
- Anton Iehorovych Bereznytskyi, Detection of Noise Signal in the Additive Mixture Based on the Second-Order Cumulant , Electronic and Acoustic Engineering: Vol. 4 No. 2 (2021)
You may also start an advanced similarity search for this article.