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An Efficient Approach for Converting 2D Medical Images Into Non Immersive VR Model

M. Mohamed Sathik1 , A. Farzana2 , S. Shajun Nisha3

Section:Research Paper, Product Type: Journal Paper
Volume-9 , Issue-8 , Page no. 46-51, Aug-2021

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v9i8.4651

Online published on Aug 31, 2021

Copyright © M. Mohamed Sathik, A. Farzana, S. Shajun Nisha . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: M. Mohamed Sathik, A. Farzana, S. Shajun Nisha, “An Efficient Approach for Converting 2D Medical Images Into Non Immersive VR Model,” International Journal of Computer Sciences and Engineering, Vol.9, Issue.8, pp.46-51, 2021.

MLA Style Citation: M. Mohamed Sathik, A. Farzana, S. Shajun Nisha "An Efficient Approach for Converting 2D Medical Images Into Non Immersive VR Model." International Journal of Computer Sciences and Engineering 9.8 (2021): 46-51.

APA Style Citation: M. Mohamed Sathik, A. Farzana, S. Shajun Nisha, (2021). An Efficient Approach for Converting 2D Medical Images Into Non Immersive VR Model. International Journal of Computer Sciences and Engineering, 9(8), 46-51.

BibTex Style Citation:
@article{Sathik_2021,
author = {M. Mohamed Sathik, A. Farzana, S. Shajun Nisha},
title = {An Efficient Approach for Converting 2D Medical Images Into Non Immersive VR Model},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2021},
volume = {9},
Issue = {8},
month = {8},
year = {2021},
issn = {2347-2693},
pages = {46-51},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5377},
doi = {https://doi.org/10.26438/ijcse/v9i8.4651}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v9i8.4651}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5377
TI - An Efficient Approach for Converting 2D Medical Images Into Non Immersive VR Model
T2 - International Journal of Computer Sciences and Engineering
AU - M. Mohamed Sathik, A. Farzana, S. Shajun Nisha
PY - 2021
DA - 2021/08/31
PB - IJCSE, Indore, INDIA
SP - 46-51
IS - 8
VL - 9
SN - 2347-2693
ER -

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Abstract

The primary objective of this paper is to find out an efficient approach for converting 2D medical images into a desktop level VR model. The target is achieved in three stages: segmentation, 2D to 3D reconstruction, and 3D to VR modeling. Segmentation is the process of partitioning the digital image into sub parts or meaningful segments which help in segregating the cognitive information in the region of interest. Several segmentation algorithms are used to segment the input image. Best segmentation techniques are preferred for 3D reconstruction. Two types of 3d reconstruction techniques are used in formulating a 3D model. The AMILab 3.2.0 is used to provide non immersive visualization. Quantitative metrics such as Accuracy, Sensitivity, Specificity, Precision, F Score, Border Error, Jaccard Distance, Volumetric Overlap Error, Relative Volume Difference, Average Symmetric surface Distance and Maximum Symmetric surface Distance are used to evaluate the performance. Constructed VR model helps students in learning human anatomy efficiently.

Key-Words / Index Term

Medical Image, Segmentation, 3D Reconstruction, Non Immersive VR

References

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