Local Shape Preserving Deformations for Augmented Reality Assisted Laparoscopic Surgery

Lach A, Kalim F, Heiliger C, Piaseczna N, Grimm M, Winkler A, Solyanik O, Kirr H, Hiendl L, Eck U, Doniec R, Navab N, Karcz K, Mandal S (2022)

Publication Type: Conference contribution

Publication year: 2022

Journal

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 2022-July

Pages Range: 562-565

Conference Proceedings Title: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Event location: Glasgow, GBR

ISBN: 9781728127828

DOI: 10.1109/EMBC48229.2022.9871029

Abstract

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.

Involved external institutions

Silesian University of Technology Gliwice PL Poland (PL) Maxer Endoscopy GmbH DE Germany (DE) Ludwig-Maximilians-Universität (LMU) DE Germany (DE) Technische Universität München (TUM) DE Germany (DE) Klinikum der Universität München DE Germany (DE)

How to cite

APA:

Lach, A., Kalim, F., Heiliger, C., Piaseczna, N., Grimm, M., Winkler, A.,... Mandal, S. (2022). Local Shape Preserving Deformations for Augmented Reality Assisted Laparoscopic Surgery. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 562-565). Glasgow, GBR: Institute of Electrical and Electronics Engineers Inc..

MLA:

Lach, Agnieszka, et al. "Local Shape Preserving Deformations for Augmented Reality Assisted Laparoscopic Surgery." Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022, Glasgow, GBR Institute of Electrical and Electronics Engineers Inc., 2022. 562-565.

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