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Laboratory test of Single Landmark registration method for ultrasound-based navigation in laparoscopy using an open-source platform

Abstract

Purpose

Test the feasibility of the novel Single Landmark image-to-patient registration method for use in the operating room for future clinical trials. The algorithm is implemented in the open-source platform CustusX, a computer-aided intervention research platform dedicated to intraoperative navigation and ultrasound, with an interface for laparoscopic ultrasound probes.


Methods

The Single Landmark method is compared to fiducial landmark on an IOUSFAN (Kyoto Kagaku Co., Ltd., Japan) soft tissue abdominal phantom and T2 magnetic resonance scans of it.


Results

The experiments show that the accuracy of the Single Landmark registration is good close to the registered point, increasing with the distance from this point (12.4 mm error at 60 mm away from the registered point). In this point, the registration accuracy is mainly dominated by the accuracy of the user when clicking on the ultrasound image. In the presented set-up, the time required to perform the Single Landmark registration is 40% less than for the FLRM.


Conclusion

The Single Landmark registration is suitable for being integrated in a laparoscopic workflow. The statistical analysis shows robustness against translational displacements of the patient and improvements in terms of time. The proposed method allows the clinician to accurately register lesions intraoperatively by clicking on these in the ultrasound image provided by the ultrasound transducer. The Single Landmark registration method can be further combined with other more accurate registration approaches improving the registration at relevant points defined by the clinicians.

Category

Academic article

Client

  • EC/H2020 / 722068

Language

English

Author(s)

Affiliation

  • SINTEF Digital / Health Research
  • Norwegian University of Science and Technology
  • Oslo University Hospital
  • St. Olavs Hospital, Trondheim University Hospital

Year

2018

Published in

International Journal of Computer Assisted Radiology and Surgery

ISSN

1861-6410

Publisher

Springer

Volume

13

Issue

12

Page(s)

1927 - 1936

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