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Biomechanics-based graph matching for augmented CT-CBCT

  • Jaime Garcia Guevara
  • Igor Peterlik
  • Marie-Odile Berger
  • Stéphane Cotin
Original Article

Abstract

Purpose

Augmenting intraoperative cone beam computed tomography (CBCT) images with preoperative computed tomography data in the context of image-guided liver therapy is proposed. The expected benefit is an improved visualization of tumor(s), vascular system and other internal structures of interest.

Method

An automatic elastic registration based on matching of vascular trees extracted from both the preoperative and intraoperative images is presented. Although methods dedicated to nonrigid graph matching exist, they are not efficient when large intraoperative deformations of tissues occur, as is the case during the liver surgery. The contribution is an extension of the graph matching algorithm using Gaussian process regression (GPR) (Serradell et al. in IEEE Trans Pattern Anal Mach Intell 37(3):625–638, 2015): First, an improved GPR matching is introduced by imposing additional constraints during the matching when the number of hypothesis is large; like the original algorithm, this extended version does not require a manual initialization of matching. Second, a fast biomechanical model is employed to make the method capable of handling large deformations.

Results

The proposed automatic intraoperative augmentation is evaluated on both synthetic and real data. It is demonstrated that the algorithm is capable of handling large deformations, thus being more robust and reliable than previous approaches. Moreover, the time required to perform the elastic registration is compatible with the intraoperative navigation scenario.

Conclusion

A biomechanics-based graph matching method, which can handle large deformations and augment intraoperative CBCT, is presented and evaluated.

Keywords

Biomechanical Modeling Elastic graph registration CBCT Image-guided interventions Image registration 

Notes

Acknowledgements

The authors are grateful for the support from Inria, the MIMESIS and MAGRIT teams, and IHU Strasbourg.

Funding

Jaime Garcia Guevara is supported by the Grand Est region and Inria.

Compliance with ethical standards

Conflict of interest

All the authors declare that they have no conflict of interest.

Ethical approval

All institutional and national guidelines for the care and use of laboratory animals were followed.

Informed consent

This articles does not contain patient data.

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Copyright information

© CARS 2018

Authors and Affiliations

  1. 1.Inria Nancy Grand EstVillers-les-NancyFrance
  2. 2.Université de LorraineNancyFrance

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