On the flexible needle insertion into the human liver.

Area of Science:

• Biomedical Engineering
• Mechanical Engineering
• Surgical Robotics

Background:

• Robotic-assisted surgery offers precision in minimally invasive procedures.
• Liver tumor treatment requires accurate instrument navigation within delicate tissue.
• Modeling tissue-instrument interaction is crucial for robotic surgical systems.

Purpose of the Study:

• To investigate flexible needle navigation in the human liver for robotic-assisted tumor treatment.
• To apply Cosserat (micropolar) elasticity to model the interaction between a flexible needle and liver tissue.
• To evaluate the impact of needle and liver deformation on navigation accuracy and penetration.

Main Methods:

• Utilizing Cosserat elasticity theory to model the chiral mechanical properties of liver tissue.
• Simulating the interaction between a flexible needle and liver tissue under surgical conditions.
• Evaluating the elastic properties of the human liver to predict deformation.
• Analyzing the influence of needle geometry and deformation on navigation outcomes.

Main Results:

• Cosserat elasticity successfully models the complex interaction between the flexible needle and liver tissue.
• Smaller deformations of both the needle and liver tissue lead to improved needle navigation.
• Needle geometry significantly influences penetration capabilities.
• The study provides a framework for optimizing flexible needle design and control in robotic surgery.

Conclusions:

• Flexible needle navigation in the liver can be enhanced by applying Cosserat elasticity principles.
• Minimizing needle and tissue deformation is key to achieving precise robotic-assisted liver tumor treatment.
• Further research into needle geometry optimization can improve intraoperative outcomes.