20240008933. System And Method For Image Based Registration And Calibration simplified abstract (MAKO Surgical Corp.)

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System And Method For Image Based Registration And Calibration

Organization Name

MAKO Surgical Corp.

Inventor(s)

Jean Stawiaski of Kirchzarten (DE)

Fadi Ghanam of Schallstadt (DE)

David Hofmann of Freiburg (DE)

System And Method For Image Based Registration And Calibration - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240008933 titled 'System And Method For Image Based Registration And Calibration

Simplified Explanation

The patent application describes systems and methods for establishing a relationship between a surgical object and a tracker attached to the surgical object. The system includes two optical sensors, one for sensing light in the infrared spectrum and the other for sensing light in the visible light spectrum. The controller acquires images of the tracker from the first optical sensor and images of the surgical object from the second optical sensor. The controller then recognizes the pose of the tracker based on the first images and the geometry of the surgical object based on the second images. By correlating the recognized pose of the tracker and the recognized geometry of the surgical object, the system defines a relationship between the tracker and the surgical object.

  • The system uses two optical sensors to capture images of the tracker and the surgical object.
  • The controller analyzes the images to recognize the pose of the tracker and the geometry of the surgical object.
  • By correlating the recognized pose and geometry, the system establishes a relationship between the tracker and the surgical object.

Potential applications of this technology:

  • Surgical navigation systems: The technology can be used to accurately track the position and orientation of surgical instruments during procedures, improving precision and reducing the risk of errors.
  • Augmented reality in surgery: By establishing a relationship between the surgical object and the tracker, the technology can enable the overlay of virtual information onto the surgeon's view, providing real-time guidance and enhancing surgical outcomes.
  • Robotics-assisted surgery: The system can be integrated with robotic surgical systems to track and control the movements of robotic arms and instruments, enhancing the precision and safety of the procedures.

Problems solved by this technology:

  • Accurate tracking: The system solves the problem of accurately tracking the position and orientation of surgical objects, allowing for precise control and guidance during surgical procedures.
  • Object recognition: By analyzing images from the optical sensors, the system solves the problem of recognizing the pose of the tracker and the geometry of the surgical object, enabling the establishment of a reliable relationship between them.

Benefits of this technology:

  • Improved surgical precision: By accurately tracking the surgical object and providing real-time guidance, the technology improves the precision of surgical procedures, reducing the risk of errors and improving patient outcomes.
  • Enhanced safety: The system's ability to establish a relationship between the tracker and the surgical object ensures that the surgical instruments are properly aligned and controlled, reducing the risk of accidental damage or injury.
  • Integration with existing systems: The technology can be integrated with existing surgical navigation systems and robotic surgical systems, enhancing their capabilities and improving overall surgical workflows.


Original Abstract Submitted

systems and methods for defining a relationship between a surgical object and a tracker coupled to the surgical object. a first optical sensor senses light in an infrared spectrum or a near-infrared spectrum. a second optical sensor senses light in a visible light spectrum. controller(s) acquire one or more first images of the tracker from the first optical sensor and acquire one or more second images of the surgical object from the second optical sensor. the controller(s) recognize a pose of the tracker based on the one or more first image and recognize a geometry of the surgical object based on the one or more second images. the controller(s) correlate the recognized pose of the tracker and the recognized geometry of the surgical object to define a relationship between the tracker and the surgical object.

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