International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

3D Modeling of X-Ray Images using Virtual Reality

Kevin ShethDepartment of Computer Engineering, RMD Sinhgad School of Engineering, Warje Pune, IndiaYash PaliwalDepartment of Computer Engineering, RMD Sinhgad School of Engineering, Warje Pune, IndiaAjay GaurDepartment of Computer Engineering, RMD Sinhgad School of Engineering, Warje Pune, IndiaKadambari KateDepartment of Computer Engineering, RMD Sinhgad School of Engineering, Warje Pune, IndiaMrs. Sonal FatangareDepartment of Computer Engineering, RMD Sinhgad School of Engineering, Warje Pune, India

Vol 7 No (2023): Volume 7, Special Issue of ICRTET- 2023 | Pages: 177-185

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 16-07-2023

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Abstract

Nowadays, advanced medical imaging is a widely accepted scientific discipline in the healthcare industry due to technological advances and software breakthroughs. Traditionally using digital images of X-Ray for diagnosing diseases in healthcare is very common. Many researchers have proposed different methods like X-Ray, CT-scan, and MRI for bone implantation. But the problem is while implantation it does not get the actual size as original, so it causes a bad impact on the health and the person suffers from pain. Therefore, to solve this problem, the proposed system uses a canny edge detection that can sketch the edges of knee bone present in an x-ray image with the size of the bone for implantation by using a virtual reality technique. The system will convert the 2D image to 3D and then the 3D model will be shown in a VR headset. So, we can get a clear visualization of the image. This model provides accurate measurements and detailed visualization of bones in virtual reality with 95.58% accuracy. Virtual reality-based visualization using X-ray images is more effective than CT-Scan in improving radiologists' accuracy and efficiency in diagnosing certain medical conditions, leading to a preference for X-ray images in certain diagnostic scenarios.

Keywords

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Citation of this Article

Kevin Sheth, Yash Paliwal, Ajay Gaur, Kadambari Kate, Mrs. Sonal Fatangare, “3D Modeling of X-Ray Images using Virtual Reality” in proceeding of International Conference of Recent Trends in Engineering & Technology ICRTET - 2023, Organized by SCOE, Sudumbare, Pune, India, Published in IRJIET, Volume 7, Special issue of ICRTET-2023, pp 177-185, June 2023.

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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