Framework for augmented reality in Minimally Invasive laparoscopic surgery

Abstract : This article presents a framework for fusing pre-operative data and intra-operative data for surgery guidance. This framework is employed in the context of Minimally Invasive Surgery (MIS) of the liver. From stereoscopic images a three dimensional point cloud is reconstructed in real-time. This point cloud is then used to register a patient-specific biomechanical model derived from Computed Tomography images onto the laparoscopic view. In this way internal structures such as vessels and tumors can be visualized to help the surgeon during the procedure. This is particularly relevant since abdominal organs undergo large deformations in the course of the surgery, making it difficult for surgeons to correlate the laparoscopic view with the pre-operative images. Our method has the potential to reduce the duration of the operation as the biomechanical model makes it possible to estimate the in-depth position of tumors and vessels at any time of the surgery, which is essential to the surgical decision process. Results show that our method can be successfully applied during laparoscopic procedure without interfering with the surgical work flow.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [22 references]  Display  Hide  Download

https://hal.inria.fr/hal-01315574
Contributor : Rosalie Plantefeve <>
Submitted on : Friday, May 13, 2016 - 1:41:58 PM
Last modification on : Thursday, December 14, 2017 - 9:57:00 AM
Document(s) archivé(s) le : Wednesday, November 16, 2016 - 3:28:44 AM

File

article.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Bruno Marques, Rosalie Plantefeve, Frédérick Roy, Nazim Haouchine, Emmanuel Jeanvoine, et al.. Framework for augmented reality in Minimally Invasive laparoscopic surgery. HealthCom 2015, Oct 2015, Boston, United States. ⟨10.1109/HealthCom.2015.7454467⟩. ⟨hal-01315574⟩

Share

Metrics

Record views

649

Files downloads

541