Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
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.
Country : India
IRJIET, Volume 7, Special Issue of ICRTET- 2023 pp. 177-185