Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Intraoperative model based identification of tissue properties using a multimodal and multiscale elastographic measurement approach

Not Accessible

Your library or personal account may give you access

Abstract

During minimally invasive surgery the visual (3 dimensional) and mechanical (haptic) feedback is restricted or even non-existing, which imposes a serious loss of important information for decision making. Information about the mechanical properties of the biological tissue helps the surgeon to localize tissue abnormalities (benign vs. malign tissue). The work described here is directed towards assisting the surgeon during minimally invasive surgery, which in particular relates to the segmentation and navigation based on the recovery of mechanical properties. Besides the development of noninvasive elastographic measurement techniques, a reliable constitutive FE model of the organ (describing its mechanical properties) is generated resulting in a further improvement of the segmentation and localization process. At first silicon phantoms, with and without foreign bodies have been generated for the purpose of testing the transfer of information (delivery and processing of data). The stress-strain curve was recorded and embedded in the FE Model (Arruda-Boyce). Two dimensional (2D) displacement maps have experimentally been obtained from the phantom, which were in good agreement with the FE simulation.

© 2015 SPIE

PDF Article
More Like This
Virtual Intraoperative surgical photoacoustic microscopy

Changho Lee, Donghyun Lee, Qifa Zhou, Jeehyun Kim, and Chulhong Kim
95390E European Conference on Biomedical Optics (ECBO) 2015

Quantifying Tissue Stiffness and the Effect of Nonlinearity using Compression Optical Coherence Elastography

Wes M. Allen, Philip Wijesinghe, Kelsey M. Kennedy, Lixin Chin, David D. Sampson, and Brendan F. Kennedy
FW4E.7 Frontiers in Optics (FiO) 2015

Intraoperative OCT for Soft Tissue Sarcoma Margin Identification

Kelly J. Mesa, Laura E. Selmic, Marina Marjanovic, Eric J. Chaney, and Stephen A. Boppart
JTh3A.2 Cancer Imaging and Therapy (Cancer) 2016

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.