Registration of preoperative liver model for laparoscopic surgery from intraoperative 3D acquisition

Jordan Bano; Stéphane A. Nicolau; Alexandre Hostettler; Christophe Doignon; Jacques Marescaux; Luc Soler

doi:10.1007/978-3-642-40843-4_22

Registration of preoperative liver model for laparoscopic surgery from intraoperative 3D acquisition

Jordan Bano, Stéphane A. Nicolau, Alexandre Hostettler, Christophe Doignon, Jacques Marescaux, Luc Soler

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

Augmented reality improves the information display during intervention by superimposing hidden structures like vessels. This support is particularly appreciated in laparoscopy where operative conditions are difficult. Generally, the displayed model comes from a preoperative image which does not undergo the deformations due to pneumoperitoneum. We propose to register a preoperative liver model on intraoperative data obtained from a rotational C-arm 3D acquisition. Firstly, we gather the two models in the same coordinate frame according to anatomical structures. Secondly, preoperative model shape is deformed with respect to the intraoperative data using a biomechanical model. We evaluate our method on two in vivo datasets and obtain an average error of 4 mm for the whole liver surface and 10 mm for the vessel position estimation.

Original language	English
Title of host publication	Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc.
Pages	201-210
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-40843-4_22
Publication status	Published - 2013
Externally published	Yes
Event	6th International Workshop on Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, MIAR 2013 and 8th International Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013 - Nagoya, Japan Duration: Sept 22 2013 → Sept 22 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8090 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	6th International Workshop on Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, MIAR 2013 and 8th International Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013
Country/Territory	Japan
City	Nagoya
Period	9/22/13 → 9/22/13

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-40843-4_22

Cite this

Bano, J., Nicolau, S. A., Hostettler, A., Doignon, C., Marescaux, J., & Soler, L. (2013). Registration of preoperative liver model for laparoscopic surgery from intraoperative 3D acquisition. In Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc. (pp. 201-210). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8090 LNCS). https://doi.org/10.1007/978-3-642-40843-4_22

Registration of preoperative liver model for laparoscopic surgery from intraoperative 3D acquisition. / Bano, Jordan; Nicolau, Stéphane A.; Hostettler, Alexandre et al.
Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc.. 2013. p. 201-210 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8090 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bano, J, Nicolau, SA, Hostettler, A, Doignon, C, Marescaux, J & Soler, L 2013, Registration of preoperative liver model for laparoscopic surgery from intraoperative 3D acquisition. in Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc.. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8090 LNCS, pp. 201-210, 6th International Workshop on Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, MIAR 2013 and 8th International Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, 9/22/13. https://doi.org/10.1007/978-3-642-40843-4_22

Bano J, Nicolau SA, Hostettler A, Doignon C, Marescaux J, Soler L. Registration of preoperative liver model for laparoscopic surgery from intraoperative 3D acquisition. In Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc.. 2013. p. 201-210. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-40843-4_22

Bano, Jordan ; Nicolau, Stéphane A. ; Hostettler, Alexandre et al. / Registration of preoperative liver model for laparoscopic surgery from intraoperative 3D acquisition. Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc.. 2013. pp. 201-210 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{255bd39dad6844a082b1863939110b55,

title = "Registration of preoperative liver model for laparoscopic surgery from intraoperative 3D acquisition",

abstract = "Augmented reality improves the information display during intervention by superimposing hidden structures like vessels. This support is particularly appreciated in laparoscopy where operative conditions are difficult. Generally, the displayed model comes from a preoperative image which does not undergo the deformations due to pneumoperitoneum. We propose to register a preoperative liver model on intraoperative data obtained from a rotational C-arm 3D acquisition. Firstly, we gather the two models in the same coordinate frame according to anatomical structures. Secondly, preoperative model shape is deformed with respect to the intraoperative data using a biomechanical model. We evaluate our method on two in vivo datasets and obtain an average error of 4 mm for the whole liver surface and 10 mm for the vessel position estimation.",

author = "Jordan Bano and Nicolau, {St{\'e}phane A.} and Alexandre Hostettler and Christophe Doignon and Jacques Marescaux and Luc Soler",

year = "2013",

doi = "10.1007/978-3-642-40843-4_22",

language = "English",

isbn = "9783642408427",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "201--210",

booktitle = "Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc.",

note = "6th International Workshop on Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, MIAR 2013 and 8th International Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013 ; Conference date: 22-09-2013 Through 22-09-2013",

}

TY - GEN

T1 - Registration of preoperative liver model for laparoscopic surgery from intraoperative 3D acquisition

AU - Bano, Jordan

AU - Nicolau, Stéphane A.

AU - Hostettler, Alexandre

AU - Doignon, Christophe

AU - Marescaux, Jacques

AU - Soler, Luc

PY - 2013

Y1 - 2013

N2 - Augmented reality improves the information display during intervention by superimposing hidden structures like vessels. This support is particularly appreciated in laparoscopy where operative conditions are difficult. Generally, the displayed model comes from a preoperative image which does not undergo the deformations due to pneumoperitoneum. We propose to register a preoperative liver model on intraoperative data obtained from a rotational C-arm 3D acquisition. Firstly, we gather the two models in the same coordinate frame according to anatomical structures. Secondly, preoperative model shape is deformed with respect to the intraoperative data using a biomechanical model. We evaluate our method on two in vivo datasets and obtain an average error of 4 mm for the whole liver surface and 10 mm for the vessel position estimation.

AB - Augmented reality improves the information display during intervention by superimposing hidden structures like vessels. This support is particularly appreciated in laparoscopy where operative conditions are difficult. Generally, the displayed model comes from a preoperative image which does not undergo the deformations due to pneumoperitoneum. We propose to register a preoperative liver model on intraoperative data obtained from a rotational C-arm 3D acquisition. Firstly, we gather the two models in the same coordinate frame according to anatomical structures. Secondly, preoperative model shape is deformed with respect to the intraoperative data using a biomechanical model. We evaluate our method on two in vivo datasets and obtain an average error of 4 mm for the whole liver surface and 10 mm for the vessel position estimation.

UR - http://www.scopus.com/inward/record.url?scp=84890926330&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84890926330&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-40843-4_22

DO - 10.1007/978-3-642-40843-4_22

M3 - Conference contribution

AN - SCOPUS:84890926330

SN - 9783642408427

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 201

EP - 210

BT - Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc.

T2 - 6th International Workshop on Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, MIAR 2013 and 8th International Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013

Y2 - 22 September 2013 through 22 September 2013

ER -

Registration of preoperative liver model for laparoscopic surgery from intraoperative 3D acquisition

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this