3D Modeling for Minimally Invasive Surgery (MIS) Planning Enhancing Laparoscopic and Robotic-Assisted Surgery Strategies

Author(s)	Arjun Urs
Country	United States
Abstract	Minimally Invasive Surgery (MIS) represents a paradigm shift in surgical interventions, offering reduced patient morbidity and expedited postoperative recovery. The integration of three-dimensional (3D) modeling within MIS planning, particularly in laparoscopic and robotic-assisted procedures, has substantially enhanced precision, spatial awareness, and surgical efficacy. This paper systematically examines the computational methodologies underpinning 3D model generation, including segmentation algorithms, surface reconstruction techniques, and real-time visualization. Furthermore, it explores the implications of 3D modeling in preoperative planning, intraoperative navigation, and surgical simulation. Challenges such as computational overhead, model fidelity, and real-time adaptability are critically analyzed, with an outlook on emerging advancements in artificial intelligence (AI) and high-performance computing.
Field	Engineering
Published In	Volume 6, Issue 5, May 2025
Published On	2025-05-15
Cite This	3D Modeling for Minimally Invasive Surgery (MIS) Planning Enhancing Laparoscopic and Robotic-Assisted Surgery Strategies - Arjun Urs - IJLRP Volume 6, Issue 5, May 2025. DOI 10.70528/IJLRP.v6.i5.1553
DOI	https://doi.org/10.70528/IJLRP.v6.i5.1553
Short DOI	https://doi.org/g9j948

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