Other formats:
BibTeX
LaTeX
RIS
@proceedings{1232850,
author = {Peterlík, Igor and Haouchine, Nazim},
booktitle = {Siggraph Asia},
keywords = {augmented reality; finite element method; computer vision; patient-specific modelling},
language = {eng},
title = {Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery},
url = {http://sa2014.siggraph.org/en/attendees/technical-papers.html?view=session&type=techpapers&sessionid=166},
year = {2014}
}
TY - CONF
ID - 1232850
AU - Peterlík, Igor - Haouchine, Nazim
PY - 2014
TI - Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery
KW - augmented reality
KW - finite element method
KW - computer vision
KW - patient-specific modelling
UR - http://sa2014.siggraph.org/en/attendees/technical-papers.html?view=session&type=techpapers&sessionid=166
N2 - We present a method for real-time augmented reality of internal liver structures during minimally invasive hepatic surgery. Vessels and tumors computed from pre-operative CT scans can be overlaid onto the laparoscopic view for surgery guidance. Compared to current methods, our method is able to locate the in-depth positions of the tumors based on partial three-dimensional liver tissue motion using a real-time biomechanical model. This model permits to properly handle the motion of internal structures even in the case of anisotropic or heterogeneous tissues, as it is the case for the liver and many anatomical structures. Experimentations conducted on phantom liver permits to measure the accuracy of the augmentation while real-time augmentation on in vivo human liver during real surgery shows the benefits of such an approach for minimally invasive surgery.
ER -
PETERLÍK, Igor and Nazim HAOUCHINE. Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery. In \textit{Siggraph Asia}. 2014.
|
