TechRxiv
ARAP_Registration_Draft_2_EMBC_2022 (5).pdf (1.06 MB)
Download file

Local Shape Preserving Deformations for Augmented Reality Assisted Laparoscopic Surgery

Download (1.06 MB)
preprint
posted on 02.05.2022, 21:50 by Agnieszka Lach, Faisal Kalim, Alexender Winkler, Matthias Grimm, Natalia Piaseczna, Christian Heiliger, Ulrich Eck, Rafal Doniec, Nassir Navab, Konrad Karcz, Subhamoy MandalSubhamoy Mandal
Image registration is a commonly required task in computer assisted surgical procedures. Existing registration methods in laparoscopic navigation systems suffer from several constraints, such as lack of deformation compensation. The proposed algorithm aims to provide the surgeons with updated navigational information about the deep-seated anatomy, which considers the continuous deformations in the operating environment.We extended an initial rigid registration to a shape-preserving deformable registration pathway by incorporating user interaction and an iterative mesh editing scheme which preserves local details. The proposed deformable registration workflow was tested with phantom and animal trial datasets. A qualitative evaluation based on expert feedback demonstrated satisfactory outcome, and an commensurate execution efficiency was achieved. The improvements offered by the method, couples with its relatively easy implementation, makes it an attractive method for adoption in future pre-clinical and clinical applications of augmented reality assisted surgeries.

Funding

BMBF 13GW0236B

History

Email Address of Submitting Author

s.mandal@ieee.org

ORCID of Submitting Author

https://orcid.org/ 0000-0002-6032-554X

Submitting Author's Institution

Indian Institute of Technology Kharagpur

Submitting Author's Country

India

Usage metrics

Categories

Exports