Intra-operative fiducial-based CT/fluoroscope image registration framework for image-guided robot-assisted joint fracture surgery

Article


Dagnino, G., Georgilas, I., Morad, S., Gibbons, P., Tarassoli, P., Atkins, R. and Dogramadzi, S. 2017. Intra-operative fiducial-based CT/fluoroscope image registration framework for image-guided robot-assisted joint fracture surgery. International Journal of Computer Assisted Radiology and Surgery. 12, p. 1383–1397.
AuthorsDagnino, G., Georgilas, I., Morad, S., Gibbons, P., Tarassoli, P., Atkins, R. and Dogramadzi, S.
Abstract

Purpose

Joint fractures must be accurately reduced minimising soft tissue damages to avoid negative surgical outcomes. To this regard, we have developed the RAFS surgical system, which allows the percutaneous reduction of intra-articular fractures and provides intra-operative real-time 3D image guidance to the surgeon. Earlier experiments showed the effectiveness of the RAFS system on phantoms, but also key issues which precluded its use in a clinical application. This work proposes a redesign of the RAFS’s navigation system overcoming the earlier version’s issues, aiming to move the RAFS system into a surgical environment.

Methods

The navigation system is improved through an image registration framework allowing the intra-operative registration between pre-operative CT images and intra-operative fluoroscopic images of a fractured bone using a custom-made fiducial marker. The objective of the registration is to estimate the relative pose between a bone fragment and an orthopaedic manipulation pin inserted into it intra-operatively. The actual pose of the bone fragment can be updated in real time using an optical tracker, enabling the image guidance.

Results

Experiments on phantom and cadavers demonstrated the accuracy and reliability of the registration framework, showing a reduction accuracy (sTRE) of about 0.88 ±0.2mm
(phantom) and 1.15±0.8mm (cadavers). Four distal femur fractures were successfully reduced in cadaveric specimens using the improved navigation system and the RAFS system following the new clinical workflow (reduction error 1.2±0.3mm, 2±1∘).

Conclusion

Experiments showed the feasibility of the image registration framework. It was successfully integrated into the navigation system, allowing the use of the RAFS system in a realistic surgical application.

JournalInternational Journal of Computer Assisted Radiology and Surgery
Journal citation12, p. 1383–1397
ISSN1861-6410
Year2017
PublisherSpringer
Publisher's version
License
File Access Level
Anyone
Digital Object Identifier (DOI)doi:10.1007/s11548-017-1602-9
Web address (URL)https://doi.org/10.1007/s11548-017-1602-9
Publication dates
Online04 May 2017
Publication process dates
Accepted25 Apr 2017
Deposited09 Mar 2020
FunderNational Institute for Health Research
Copyright holder© 2017 The Authors
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