Impact of Soft Tissue Heterogeneity on Augmented Reality for
Liver Surgery

J 2015

Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery

HAOUCHINE, Nazim, Stephane COTIN, Igor PETERLÍK, Jeremie DEQUIDT, Mario Sanz LOPEZ et. al.

Basic information

Original name

Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery

Name in Czech

Vliv nehomogenity měkkých tkání na rozšířenou realitu chirurgie jater

Authors

HAOUCHINE, Nazim (12 Algeria), Stephane COTIN (250 France, guarantor), Igor PETERLÍK (703 Slovakia, belonging to the institution), Jeremie DEQUIDT (250 France), Mario Sanz LOPEZ (724 Spain), Erwan KERRIEN (250 France) and Marie-Odile BERGER (250 France)

Edition

IEEE Transactions on Visualization and Computer Graphics, 2015, 1077-2626

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 1.400

RIV identification code

RIV/00216224:14610/15:00082206

Organization unit

Institute of Computer Science

DOI

http://dx.doi.org/10.1109/TVCG.2014.2377772

UT WoS

000352154500005

Keywords in English

Image-guided Simulation; Biomechanical Modeling; Real-Time Augmented Reality; Computer Assisted Surgery

Abstract

V originále

This paper presents 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.

Links

LM2010005, research and development project

Name: Velká infrastruktura CESNET (Acronym: VI CESNET)

Investor: Ministry of Education, Youth and Sports of the CR

Citovat

HAOUCHINE, Nazim, Stephane COTIN, Igor PETERLÍK, Jeremie DEQUIDT, Mario Sanz LOPEZ, Erwan KERRIEN and Marie-Odile BERGER. Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery. IEEE Transactions on Visualization and Computer Graphics. 2015, vol. 21, No 5, p. 584 - 597. ISSN 1077-2626. Available from: https://dx.doi.org/10.1109/TVCG.2014.2377772.

@article{1214958,
   author = {Haouchine, Nazim and Cotin, Stephane and Peterlík, Igor and Dequidt, Jeremie and Lopez, Mario Sanz and Kerrien, Erwan and Berger, MarieandOdile},
   article_number = {5},
   doi = {http://dx.doi.org/10.1109/TVCG.2014.2377772},
   keywords = {Image-guided Simulation; Biomechanical Modeling; Real-Time Augmented Reality; Computer Assisted Surgery},
   language = {eng},
   issn = {1077-2626},
   journal = {IEEE Transactions on Visualization and Computer Graphics},
   title = {Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery},
   url = {https://hal.inria.fr/hal-01136728},
   volume = {21},
   year = {2015}
}

TY  - JOUR
ID  - 1214958
AU  - Haouchine, Nazim - Cotin, Stephane - Peterlík, Igor - Dequidt, Jeremie - Lopez, Mario Sanz - Kerrien, Erwan - Berger, Marie-Odile
PY  - 2015
TI  - Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery
JF  - IEEE Transactions on Visualization and Computer Graphics
VL  - 21
IS  - 5
SP  - 584 - 597
EP  - 584 - 597
SN  - 10772626
KW  - Image-guided Simulation
KW  - Biomechanical Modeling
KW  - Real-Time Augmented Reality
KW  - Computer Assisted Surgery
UR  - https://hal.inria.fr/hal-01136728
L2  - https://hal.inria.fr/hal-01136728
N2  - This paper presents 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  -

HAOUCHINE, Nazim, Stephane COTIN, Igor PETERLÍK, Jeremie DEQUIDT, Mario Sanz LOPEZ, Erwan KERRIEN and Marie-Odile BERGER. Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery. \textit{IEEE Transactions on Visualization and Computer Graphics}. 2015, vol.~21, No~5, p.~584 - 597. ISSN~1077-2626. Available from: https://dx.doi.org/10.1109/TVCG.2014.2377772.

Detailed Information on Publication Record