Workspace Analysis for Laparoscopic Rectal Surgery : A Preliminary Study
CoRR(2024)
摘要
The integration of medical imaging, computational analysis, and robotic
technology has brought about a significant transformation in minimally invasive
surgical procedures, particularly in the realm of laparoscopic rectal surgery
(LRS). This specialized surgical technique, aimed at addressing rectal cancer,
requires an in-depth comprehension of the spatial dynamics within the narrow
space of the pelvis. Leveraging Magnetic Resonance Imaging (MRI) scans as a
foundational dataset, this study incorporates them into Computer-Aided Design
(CAD) software to generate precise three-dimensional (3D) reconstructions of
the patient's anatomy. At the core of this research is the analysis of the
surgical workspace, a critical aspect in the optimization of robotic
interventions. Sophisticated computational algorithms process MRI data within
the CAD environment, meticulously calculating the dimensions and contours of
the pelvic internal regions. The outcome is a nuanced understanding of both
viable and restricted zones during LRS, taking into account factors such as
curvature, diameter variations, and potential obstacles. This paper delves
deeply into the complexities of workspace analysis for robotic LRS,
illustrating the seamless collaboration between medical imaging, CAD software,
and surgical robotics. Through this interdisciplinary approach, the study aims
to surpass traditional surgical methodologies, offering novel insights for a
paradigm shift in optimizing robotic interventions within the complex
environment of the pelvis.
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