Towards real-time vessel guided augmented reality for liver surgery - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2024

Towards real-time vessel guided augmented reality for liver surgery

Résumé

This work presents a novel method for augmented reality in liver surgery. Leveraging advanced reconstruction and segmentation techniques, our approach transfers diverse intraoperative data to Euclidean space, using vessel centerlines as a common representation. Hence, overcoming limitations in operation room equipment and clinician expertise. In addition, we capitalize on the graph-like structure of intraoperative vascular trees to ensure a robust and automatic initial registration. Our approach combines physics-based modeling accuracy with neural network speed for real-time elastic registration. The proposed method is trained on data synthesized from real human acquisitions and validated against a biomechanical model. Our approach achieves a mean target registration error less than 0.6 mm for different synthesized intraoperative cases. Moreover, it demonstrates robustness over different modalities and segmentation errors.
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Dates et versions

hal-04387242 , version 1 (11-01-2024)

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Identifiants

  • HAL Id : hal-04387242 , version 1

Citer

Sidaty EL HADRAMY, Juan Verde, Nicolas Padoy, Stéphane Cotin. Towards real-time vessel guided augmented reality for liver surgery. IEEE International Symposium on Biomedical Imaging (ISBI 2024), May 2024, Athenes, Grece, Greece. ⟨hal-04387242⟩
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