Industrial Consultancy & Sponsored Research (IC&SR) , IIT Madras

Robotic Surgery Systems And Surgical Guidance Methods

Technology Category/Market

Category – Healthcare Robotics

Applications-Robotic surgery systems, Orthopaedic surgery

Industry- Medical Imaging and Diagnostics, Healthcare Robotics

Market – Global surgical robotics market size was valued at $78 billion in 2022, and is projected to reach $188 billion by 2032, growing at a CAGR of 9.1% from 2023 – 2032.

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Problem Statement

  • Robotic surgery relies on precise registration between preoperative images and the surgical robot’s coordinate system, but challenges arise from resolution differences and intra-operative disturbances.
  • Intra-operative factors like manual handling and patient positioning changes disrupt accurate navigation of surgical tools.
  • Different imaging modalities and potential occlusions complicate mapping 2D intra-operative data to 3D preoperative images.
  • The present invention relates to System and methods that provides surgical guidance and targeting in robotic surgery systems.

Technology

  • The present invention relates to a method of providing surgical guidance and targeting in robotic surgery systems.
  • The method utilizes data from a navigation system in tandem with 2-dimensional (2D) intra-operative imaging data. 2D intra-operative image data is superimposed with a pre-operative 3-dimensional (3D) image and surgery plans made in the pre-operative image coordinate system.
  • The superimposition augments real-time intraoperative navigation for achieving image guided surgery in robotic surgery systems.
  • The advantages include minimizing radiation exposure to a patient by avoiding intraoperative volumetric imaging, mobility of tools, imager and robot in and out of the operating space without the need for re-calibration, and relaxing the need for repeating precise imaging positions. (FIG. 1)

Key Features/Value Proposition

Enhanced Surgical Guidance:

  • The method and system enable precise surgical guidance by seamlessly integrating pre-operative and intra-operative image data, improving accuracy during robotic surgeries.

Real-time Registration:

  • Real-time registration of intra-operative images and navigation system data allows for continuous tracking of surgical tools, enhancing the surgeon’s ability to navigate within the patient’s body.

Non-Invasive Calibration:

  • The system’s calibration process does not require physical markers on the patient, reducing invasiveness and improving patient comfort during surgery.

Multimodal Imaging:

  • The system supports various imaging modalities, including X-ray, ultrasound, CT scans, and MRI scans, providing flexibility and versatility for different surgical procedures

Augmented Visualization:

  • Surgeons benefit from augmented intra-operative images that align with pre-operative data, improving their ability to make informed decisions and enhancing overall surgical outcomes

3D Visualization:

  • The system augments the 2D intra-operative image data with a rendering of the 3D pre-operative image data, providing surgeons with a 3D view that aids in better decision-making and navigation.

Questions about this Technology?

Research Lab

Prof. Mohanasankar Sivaprakasam

Department of Electrical Engineering

Contact for Licensing

smipm-icsr@icsrpis.iitm.ac.in
ipoffice2@iitm.ac.in

Intellectual Property

  • IITM IDF Ref. 1813
  • IN 201841048137
  • PCT/IB2019/061459 – Published
  • US-2022-0054199-A1 – Published

Technology Readiness Level

TRL – 4

Experimentally validated in lab.

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