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A methodology for the segmentation and three-dimensional (3D) modeling of thoracic organs from computed tomography scans is described. The process employs specialized software tools that enable the accurate delineation of anatomical structures and the generation of detailed volumetric reconstructions. The resulting 3D models provide anatomically faithful representations that can be integrated into surgical planning workflows, offering surgeons enhanced spatial understanding of patient-specific anatomy and supporting more precise preoperative strategies. Beyond clinical applications, these models constitute valuable resources for medical research, allowing detailed investigation of thoracic organ morphology and function under reproducible conditions. The findings highlight the potential of 3D segmentation and modeling to strengthen decision-making in surgical planning, advance anatomical research, and improve the quality of medical education.

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3D Segmentation and Modeling of Thoracic Organs for Surgical Planning and Medical Research

  • 章节

  • 发表日期：

    2026年

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  • Carlos Uriel Castelán-Sánchez,
  • Juan Alfonso Beltrán-Fernández,
  • Mauricio González Rebattú y González,
  • Alejandro Gónzalez-Rebattú,
  • Elías Humberto Hermida-Ochoa,
  • Alejandro Tonatiu Velázquez-Sánchez,
  • Erik Omar Alvarado-Alcántara,
  • Karen Pamela Vázquez-Thierry,
  • Pablo Moreno-Garibaldi

摘要

A methodology for the segmentation and three-dimensional (3D) modeling of thoracic organs from computed tomography scans is described. The process employs specialized software tools that enable the accurate delineation of anatomical structures and the generation of detailed volumetric reconstructions. The resulting 3D models provide anatomically faithful representations that can be integrated into surgical planning workflows, offering surgeons enhanced spatial understanding of patient-specific anatomy and supporting more precise preoperative strategies. Beyond clinical applications, these models constitute valuable resources for medical research, allowing detailed investigation of thoracic organ morphology and function under reproducible conditions. The findings highlight the potential of 3D segmentation and modeling to strengthen decision-making in surgical planning, advance anatomical research, and improve the quality of medical education.