This HTML5 document contains 46 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n14http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n22http://purl.org/net/nknouf/ns/bibtex#
n18http://localhost/temp/predkladatel/
n19http://linked.opendata.cz/resource/domain/vavai/projekt/
n13http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n17http://linked.opendata.cz/ontology/domain/vavai/
n15https://schema.org/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n11http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216224%3A14610%2F14%3A00078002%21RIV15-MSM-14610___/
n21http://bibframe.org/vocab/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n10http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n20http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n6http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n8http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n7http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n12http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216224%3A14610%2F14%3A00078002%21RIV15-MSM-14610___
rdf:type
n17:Vysledek skos:Concept
dcterms:description
This article introduces a method for tracking the internal structures of the liver during robot-assisted procedures. Vascular network, tumors and cut planes, computed from pre-operative data, can be overlaid onto the laparoscopic view for image-guidance, even in the case of large motion or deformation of the organ. Compared to current methods, our method is able to precisely propagate surface motion to the internal structures. This is made possible by relying on a fast yet accurate biomechanical model of the liver combined with a robust visual tracking approach designed to properly constrain the model. Augmentation results are demonstrated on in-vivo sequences of a human liver during robotic surgery, while quantitative validation is performed on an ex-vivo porcine liver experimentation. Validation results show that our approach gives an accurate surface registration with an error of less than 6mm on the position of the tumor. This article introduces a method for tracking the internal structures of the liver during robot-assisted procedures. Vascular network, tumors and cut planes, computed from pre-operative data, can be overlaid onto the laparoscopic view for image-guidance, even in the case of large motion or deformation of the organ. Compared to current methods, our method is able to precisely propagate surface motion to the internal structures. This is made possible by relying on a fast yet accurate biomechanical model of the liver combined with a robust visual tracking approach designed to properly constrain the model. Augmentation results are demonstrated on in-vivo sequences of a human liver during robotic surgery, while quantitative validation is performed on an ex-vivo porcine liver experimentation. Validation results show that our approach gives an accurate surface registration with an error of less than 6mm on the position of the tumor.
dcterms:title
Towards an Accurate Tracking of Liver Tumors for Augmented Reality in Robotic Assisted Surgery Towards an Accurate Tracking of Liver Tumors for Augmented Reality in Robotic Assisted Surgery
skos:prefLabel
Towards an Accurate Tracking of Liver Tumors for Augmented Reality in Robotic Assisted Surgery Towards an Accurate Tracking of Liver Tumors for Augmented Reality in Robotic Assisted Surgery
skos:notation
RIV/00216224:14610/14:00078002!RIV15-MSM-14610___
n3:aktivita
n20:P
n3:aktivity
P(LM2010005)
n3:dodaniDat
n12:2015
n3:domaciTvurceVysledku
n13:1288296
n3:druhVysledku
n8:D
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
50805
n3:idVysledku
RIV/00216224:14610/14:00078002
n3:jazykVysledku
n6:eng
n3:klicovaSlova
augmented reality; image motion analysis; medical image processing; object tracking; augmented reality
n3:klicoveSlovo
n10:image%20motion%20analysis n10:augmented%20reality n10:object%20tracking n10:medical%20image%20processing
n3:kontrolniKodProRIV
[B8375DEDFFFC]
n3:mistoKonaniAkce
Hong Kong
n3:mistoVydani
Hong Kong, China
n3:nazevZdroje
International Conference on Robotics and Automation (ICRA)
n3:obor
n7:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
6
n3:projekt
n19:LM2010005
n3:rokUplatneniVysledku
n12:2014
n3:tvurceVysledku
Haouchine, Nazim Peterlík, Igor Dequidt, Jeremie Cotin, Stephane Kerrien, Erwan Berger, Marie-Odile
n3:typAkce
n14:WRD
n3:zahajeniAkce
2014-01-01+01:00
s:numberOfPages
6
n21:doi
10.1109/ICRA.2014.6907458
n22:hasPublisher
IEEE
n15:isbn
9781479936861
n18:organizacniJednotka
14610