3D Tissue Suturing Guidance for Robotic Needle Trajectories
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Solution Overview
Problem
Surgical suturing in robotic-assisted surgery is cognitively challenging due to difficulties in envisioning needle trajectories and tool kinematics, particularly with curved or flexible tools, leading to sub-optimal suturing outcomes.
Innovation Solution
A tissue suturing guidance system utilizing a stereo-endoscope for three-dimensional surface reconstruction, multi-spectral imaging, and biomechanical modeling to generate a suturing configuration that optimizes tissue contact and pressure, providing real-time guidance and feedback on suture placement and trajectory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual suturing is performed based on clinician judgment and experience, then suturing can be completed with simple tools, but cognitive load is high and suturing outcomes are sub-optimal
Solution Approach 1:
The patent introduces an image-guided robotic system as an intermediary between the clinician's intent and the actual suturing execution. The system includes image capturing devices that acquire surgical site images, processing systems that generate needle trajectory guidance, and robotic tools that execute the suturing. This intermediary system reduces cognitive load by automatically calculating complex trajectories while providing visual guidance to the clinician.
Solution Approach 2:
The patent replaces manual mechanical suturing operations with a robotic system that uses image processing and computational algorithms. Instead of relying solely on the clinician's manual dexterity and cognitive judgment, the system uses computer vision to capture images, computational geometry to determine trajectories, and robotic actuation to execute precise needle insertions and suture placements.
2Ease of operation
If automated needle trajectory execution is implemented, then cognitive load is reduced, but device complexity increases
Solution Approach 1:
The patent designs the robotic surgical system to perform multiple functions within a single integrated platform. The system includes image capturing devices that can acquire various types of imaging data, a processing system that performs multiple computational tasks (trajectory calculation, guidance generation, real-time monitoring), and a robotic manipulator that can execute different suturing operations. This multi-functionality reduces the need for separate specialized devices.
Solution Approach 2:
The patent uses image capturing devices to create digital copies or representations of the physical surgical site. These images are processed to generate virtual needle trajectories that are then overlaid on the real surgical field for guidance. This copying approach allows the system to plan and visualize procedures without physical trial-and-error, reducing complexity compared to purely mechanical trial-based methods.
3Manufacturing precision
If image-guided robotic suturing is used, then suturing precision is improved, but the number of components and system complexity increases
Solution Approach 1:
The patent merges multiple functional components into an integrated robotic surgical system. The image capturing devices, processing system, and robotic manipulator are combined into a coordinated system where components share data and control pathways. The image processing and trajectory calculation functions are integrated with the robotic control system, allowing seamless transition from imaging to guidance to execution without requiring separate standalone systems.
Data Source
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AI summary
A tissue suturing guidance system includes an image capturing device, a display, and a processor in communication with the image capturing device and the display. The image capturing device is configured to capture a suture site. The display is configured to display an image of the suture site. The processor is configured to: determine, based on the image of the suture site, a geometric tissue representation of the suture site; access measured properties of the suture site; determine, based on the measured properties of the suture site, a biomechanical tissue representation of the suture site; and generate, based on the geometric tissue representation and biomechanical tissue representation of the suture site, a suturing configuration for the suture site.