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Hand-eye calibration for rigid laparoscopes using an invariant point.

Stephen Thompson¹, Danail Stoyanov², Crispin Schneider³

¹Centre for Medical Image Computing, Front Engineering Building, University College London, Malet Place, London, UK. s.thompson@ucl.ac.uk.

International Journal of Computer Assisted Radiology and Surgery

|March 21, 2016

Summary

A new hand-eye calibration method for laparoscopic surgery uses a single invariant point for accurate image guidance. This technique offers real-time visual feedback and comparable accuracy to existing methods, improving surgical precision.

Keywords:

Augmented reality Hand–eye calibration Laparoscope Tracking

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Area of Science:

Minimally Invasive Surgery
Surgical Navigation
Medical Imaging

Background:

Laparoscopic liver resection offers benefits like reduced trauma and faster recovery compared to open surgery.
Challenges in laparoscopy include limited visualization and lack of tactile feedback.
Accurate hand-eye calibration is crucial for effective image guidance in laparoscopic procedures.

Purpose of the Study:

To develop a simple, clinically feasible hand-eye calibration method for laparoscopic surgery.
To enable accurate image guidance by precisely determining the laparoscope's position and orientation relative to tracking markers.
To provide real-time visual feedback for assessing calibration accuracy during surgical setup.

Main Methods:

A novel calibration method based on a single invariant point was proposed.
The method requires no additional hardware and can be performed by theatre staff.
A laparoscope equipped with electromagnetic (EM) and optical tracking sensors was used for performance comparison.

Main Results:

The new method demonstrated comparable accuracy to established techniques like Tsai's method.
RMS projected errors were 1.95 mm (optical) and 0.85 mm (EM) for the new method, versus 4.13 mm and 1.00 mm for existing methods.
The method proved workable under sterile operating room conditions.

Conclusions:

A new single invariant point hand-eye calibration method for laparoscopy has been developed.
The method provides visual feedback, satisfactory accuracy, and is suitable for intraoperative use.
EM sensors near the camera significantly enhance image overlay accuracy.