3D Medical Imaging by using Point Cloud Generation
Resumo
Three-dimensional (3D) reconstruction of anatomical structures from medical images represents a significant advancement in the healthcare field—a topic already explored in various studies. Traditional methods often rely on contrastenhanced computed tomography (CT), which is contraindicated for certain patients. To address this limitation, this work proposes a new methodology for 3D lung modeling. The method consists in generating a unified point cloud from segmented CT slices, followed by the construction of a polygonal mesh using Poisson surface reconstruction. To enhance result visualization, a graphical user interface was developed to simultaneously display the reconstructed 3D model and the original DICOM slices. The results of this new approach confirm the feasibility of the project, establishing an alternative method for the 3D representation of lungs.
Palavras-chave:
3D Representation, Computed Tomography, Point Clouds, Polygonal Mesh
Referências
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C. Dinesh, G. Cheung, and I. V. Bajić, “3d point cloud super-resolution via graph total variation on surface normals,” 2019 IEEE International Conference on Image Processing (ICIP), pp. 4390–4394, 2019.
L. Wenju, S. Liye, J. Qianqian, and C. Liu, “A lightweight point cloud analysis network based on graph walking,” in 2023 8th International Conference on Intelligent Informatics and Biomedical Sciences (ICI-IBMS), 2023, pp. 45–48.
F. C. Belém, S. J. F. Guimarães, and A. X. Falcão, “Superpixel segmentation using dynamic and iterative spanning forest,” IEEE Signal Processing Letters, vol. 27, pp. 1440–1444, 2020.
M. Kazhdan, M. Bolitho, and H. Hoppe, “Poisson surface reconstruction,” in Eurographics Symposium on Geometry Processing, pp. 1–10.
E. Rocha-Júnior and P. M. Pêgo-Fernandes, “Three-dimensional computed tomography reconstruction in the era of digital personalized medicine,” Sao Paulo Medical Journal, vol. 141, no. 1, pp. 1–3, 2023.
S. Nakazawa, T. Nagashima, N. Kawatani, P. C. Gedeon, A. K. DeSimone, H. Igai, T. Kosaka, and K. Shirabe, “Anatomy of the lung revisited by 3d-ct imaging,” Video Assist Thorac Surg, vol. 8, 2023.
K. Rathore, M. Teh, and M. Newman, “Deep intramural left anterior descending or large septal artery?” Annals of Thoracic Surgery, vol. 111, no. 4, p. 1409, 2021.
L. Abdulmajid, H. El Addouli, B. Paelinck, and D. De Bock, “Natural growth of left atrial myxoma,” Annals of Thoracic Surgery, vol. 111, no. 4, pp. e275–e277, 2021.
S. Nakazawa, R. Hanawa, T. Nagashima, K. Shimizu, T. Yajima, and K. Shirabe, “Segmentectomy guided by 3-dimensional images reconstructed from nonenhanced computed tomographic data,” The Annals of Thoracic Surgery, vol. 111, no. 3, pp. e301–e304, 2021.
C. Dinesh, G. Cheung, and I. V. Bajić, “3d point cloud super-resolution via graph total variation on surface normals,” 2019 IEEE International Conference on Image Processing (ICIP), pp. 4390–4394, 2019.
L. Wenju, S. Liye, J. Qianqian, and C. Liu, “A lightweight point cloud analysis network based on graph walking,” in 2023 8th International Conference on Intelligent Informatics and Biomedical Sciences (ICI-IBMS), 2023, pp. 45–48.
F. C. Belém, S. J. F. Guimarães, and A. X. Falcão, “Superpixel segmentation using dynamic and iterative spanning forest,” IEEE Signal Processing Letters, vol. 27, pp. 1440–1444, 2020.
M. Kazhdan, M. Bolitho, and H. Hoppe, “Poisson surface reconstruction,” in Eurographics Symposium on Geometry Processing, pp. 1–10.
Publicado
30/09/2025
Como Citar
LOURES, Luiza; PATROCÍNIO JR., Zenilton Kleber G. do; GUIMARÃES, Silvio Jamil F..
3D Medical Imaging by using Point Cloud Generation. In: WORKSHOP DE TRABALHOS DA GRADUAÇÃO - CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 38. , 2025, Salvador/BA.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 239-242.
