TOWARDS REAL-TIME VESSEL GUIDED AUGMENTED REALITY FOR LIVER SURGERY - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2024

TOWARDS REAL-TIME VESSEL GUIDED AUGMENTED REALITY FOR LIVER SURGERY

Juan Verde
  • Fonction : Auteur
Nicolas Padoy
  • Fonction : Auteur
Stéphane Cotin
  • Fonction : Auteur

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.
Fichier principal
Vignette du fichier
TOWARDS_REAL_TIME_VESSEL_GUIDED_AUGMENTED_REALITY_FOR_LIVER_SURGERY.pdf (1.46 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

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

Licence

Paternité

Identifiants

  • HAL Id : hal-04387242 , version 1

Citer

Sidaty El, Juan Verde, Nicolas Padoy, Stéphane Cotin. TOWARDS REAL-TIME VESSEL GUIDED AUGMENTED REALITY FOR LIVER SURGERY. 2024. ⟨hal-04387242⟩
87 Consultations
86 Téléchargements

Partager

Gmail Facebook X LinkedIn More