A Tool for 3D Representation of the 2D Thermographic Breast Acquisitions

Eudoxia Moura, Eudoxia Moura, Gleidson Costa, Tiago Borchartt, Aura Conci

2024

Abstract

This study enhances the three-dimensional reconstruction of the breast surface from two-dimensional thermal images at five different angles. The process involves the use of a convolutional neural network U-net for image segmentation, extraction of relevant points and curves, geometric transformations to add a dimension to the curves, and modeling with Rational Non-uniform B-splines Surface (NURBS). The work aims to improve the previously proposed algorithm by making modifications to the rotation points and cutting regions to achieve a more comprehensive breast contour. In a quantitative evaluation of the results, comparing thermal images and Structured Light Scanner images with the Costa’s and new algorithm, we observed that, concerning scanning, the Costa’s algorithm has an average of 37.07% with a standard deviation of 6.27, while the new algorithm exhibits an average of 14.06% with a standard deviation of 7.28. When compared to thermal images, the Costa’s algorithm has an average of 37.47% with a standard deviation of 7.24, whereas the new algorithm shows an average of 14.77% with a standard deviation of 7.37. These results indicate that the new algorithm significantly improves the representation of the breast shape compared to the Costa’s algorithm.

Paper Citation

in Harvard Style

Moura E., Costa G., Borchartt T. and Conci A. (2024). A Tool for 3D Representation of the 2D Thermographic Breast Acquisitions. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 138-146. DOI: 10.5220/0012469500003660

in Bibtex Style

@conference{visapp24,
author={Eudoxia Moura and Gleidson Costa and Tiago Borchartt and Aura Conci},
title={A Tool for 3D Representation of the 2D Thermographic Breast Acquisitions},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP},
year={2024},
pages={138-146},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012469500003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP
TI - A Tool for 3D Representation of the 2D Thermographic Breast Acquisitions
SN - 978-989-758-679-8
AU - Moura E.
AU - Costa G.
AU - Borchartt T.
AU - Conci A.
PY - 2024
SP - 138
EP - 146
DO - 10.5220/0012469500003660
PB - SciTePress