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International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

09.12.2016 | Original Article

Handling topological changes during elastic registration

Application to augmented reality in laparoscopic surgery

verfasst von: Christoph J. Paulus, Nazim Haouchine, Seong-Ho Kong, Renato Vianna Soares, David Cazier, Stephane Cotin

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 3/2017

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Abstract

Purpose

Locating the internal structures of an organ is a critical aspect of many surgical procedures. Minimally invasive surgery, associated with augmented reality techniques, offers the potential to visualize inner structures, allowing for improved analysis, depth perception or for supporting planning and decision systems.

Methods

Most of the current methods dealing with rigid or non-rigid augmented reality make the assumption that the topology of the organ is not modified. As surgery relies essentially on cutting and dissection of anatomical structures, such methods are limited to the early stages of the surgery.

We solve this shortcoming with the introduction of a method for physics-based elastic registration using a single view from a monocular camera. Singularities caused by topological changes are detected and propagated to the preoperative model. This significantly improves the coherence between the actual laparoscopic view and the model and provides added value in terms of navigation and decision-making, e.g., by overlaying the internal structures of an organ on the laparoscopic view.

Results

Our real-time augmentation method is assessed on several scenarios, using synthetic objects and real organs. In all cases, the impact of our approach is demonstrated, both qualitatively and quantitatively (http://www.open-cas.org/?q=PaulusIJCARS16).

Conclusion

The presented approach tackles the challenge of localizing internal structures throughout a complete surgical procedure, even after surgical cuts. This information is crucial for surgeons to improve the outcome for their surgical procedure and avoid complications.

Vorheriger Artikel Erratum to: GRAPE: a graphical pipeline environment for image analysis in adaptive magnetic resonance imaging

Nächster Artikel A new method for the automatic retrieval of medical cases based on the RadLex ontology

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http://www.open-cas.org/?q=PaulusIJCARS16.

Agudo A, Calvo B, Montiel J (2012) Finite element based sequential bayesian non-rigid structure from motion. In: Computer vision and pattern recognition (CVPR), pp 1418–1425. IEEE

Bartoli A, Zisserman A (2004) Direct estimation of non-rigid registrations. In: British machine vision conference, pp 899–908. BMVA

Bielser D, Glardon P, Teschner M, Gross M (2004) A state machine for real-time cutting of tetrahedral meshes. Graph Models 66(6):398–417CrossRef

Diana M, Halvax P, Mertz D, Legner A, Brulé J-M, Robinet E, Mutter D, Pessaux P, Marescaux J (2015) Improving echo-guided procedures using an ultrasound-CT image fusion system. Surg Innov 22(3):217–222CrossRefPubMed

Feldmar J, Ayache N, Betting F (1995) 3D–2D projective registration of free-form curves and surfaces. In: Computer vision, pp. 549–556. IEEE

Ferrant M, Nabavi A, Macq B, Black PM, Jolesz FA, Kikinis R, Warfield SK (2002) Serial registration of intraoperative mr images of the brain. Med Image Anal 6(4):337–359CrossRefPubMed

Haouchine N, Dequidt J, Berger M-O, Cotin S (2014) Single view augmentation of 3D elastic objects. In: Mixed and augmented reality (ISMAR), pp 229–236

Haouchine N, Dequidt J, Kerrien E, Berger M-O, Cotin S (2012) Physics-based augmented reality for 3D deformable object. VRIPHYS Virtual Real Interact Phys Simul. Darmstadt, Germany, pp 31–38

Haouchine N, Dequidt J, Peterlik I, Kerrien E, Berger M-O, Cotin S (2013) Image-guided simulation of heterogeneous tissue deformation for augmented reality during hepatic surgery. In: IEEE international symposium on mixed and augmented reality (ISMAR), pp 199–208

10.

Kass M, Witkin A, Terzopoulos D (1988) Snakes: active contour models. Int J Comput Vis 1(4):321–331CrossRef

11.

Koschier D, Lipponer S, Bender J (2014) Adaptive tetrahedral meshes for brittle fracture simulation. In: Proceedings of the ACM SIGGRAPH/eurographics symposium on computer animation, pp 57–66

12.

Leizea I, Álvarez H, Aguinaga I, Borro D (2014) Real-time deformation, registration and tracking of solids based on physical simulation. In: Mixed and augmented reality (ISMAR), pp 165–170

13.

Malti A, Hartley R, Bartoli A, Kim J-H (2013) Monocular template-based 3D reconstruction of extensible surfaces with local linear elasticity. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1522–1529

14.

Moreno-Noguer F, Salzmann M, Lepetit V, Fua P (2009) Capturing 3D stretchable surfaces from single images in closed form. In: Computer vision and pattern recognition CVPR, pp 1842–1849

15.

Nicolau S, Soler L, Mutter D, Marescaux J (2011) Augmented reality in laparoscopic surgical oncology. Surg Oncol 20(3):189–201CrossRefPubMed

16.

Nienhuys H-W, van der Stappen AF (2001) A surgery simulation supporting cuts and finite element deformation. In: International conference on medical image computing and computer-assisted intervention, pp 145–152

17.

Paulus CJ, Haouchine N, Cazier D, Cotin S (2015) Augmented reality during cutting and tearing of deformable objects. In: Mixed and augmented reality (ISMAR), pp 54–59

18.

Paulus CJ, Haouchine N, Cazier D, Cotin S (2015) Surgical augmented reality with topological changes. In: International conference on medical image computing and computer-assisted intervention

19.

Paulus CJ, Untereiner L, Courtecuisse H, Cotin S, Cazier D (2015) Virtual cutting of deformable objects based on efficient topological operations. Vis Comput 31(6–8):831–841CrossRef

20.

Petit A, Lippiello V, Siciliano B (2015) Real-time tracking of 3D elastic objects with an RGB-D sensor. In: Intelligent robots and systems (IROS), pp 3914–3921

21.

Petit A, Lippiello V, Siciliano B (2015) Tracking fractures of deformable objects in real-time with an RGB-D sensor. In: International conference on 3D vision (3DV), pp 632–639

22.

Pilet J, Lepetit V, Fua P (2008) Fast non-rigid surface detection, registration and realistic augmentation. Int J Comput Vis 76(2):109–122CrossRef

23.

Pratt P, Stoyanov D, Visentini-Scarzanella M, Yang G-Z (2010) Dynamic guidance for robotic surgery using image-constrained biomechanical models. In: Medical image computing and computer-assisted intervention (MICCAI), pp 77–85

24.

Salzmann M, Fua P (2011) Linear local models for monocular reconstruction of deformable surfaces. Pattern Anal Mach Intell 33(5):931–944CrossRef

25.

Salzmann M, Pilet J, Ilic S, Fua P (2007) Surface deformation models for nonrigid 3D shape recovery. IEEE Trans Pattern Anal Mach Intell 29(8):1481–1487CrossRefPubMed

26.

Sifakis E, Barbic J (2012) Fem simulation of 3D deformable solids: a practitioner’s guide to theory, discretization and model reduction. In: ACM SIGGRAPH 2012 courses, p 20

27.

Suwelack S (2013) Real-time biomechanical modeling for intraoperative soft tissue registration. Karlsruhe Institute of Technology – Scientific Publishing, Karlsruhe

28.

Suwelack S, Röhl S, Bodenstedt S, Reichard D, Dillmann R, dos Santos T, Maier-Hein L, Wagner M, Wünscher J, Kenngott H, Müller BP, Speidel S (2014) Physics-based shape matching for intraoperative image guidance. Med Phys 41(11):111901CrossRefPubMed

29.

Wu J, Westermann R, Dick C (2014a). Physically-based simulation of cuts in deformable bodies: a survey. In: Eurographics state-of-the-art report

30.

Wu J, Westermann R, Dick C (2014) Real-time haptic cutting of high resolution soft tissues. Stud Health Technol Inform (Proc Med Meets Virtual Real) 196:469–475

Titel: Handling topological changes during elastic registration
Application to augmented reality in laparoscopic surgery
verfasst von: Christoph J. Paulus
Nazim Haouchine
Seong-Ho Kong
Renato Vianna Soares
David Cazier
Stephane Cotin
Publikationsdatum: 09.12.2016
Verlag: Springer International Publishing
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 3/2017
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-016-1502-4

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Abstract

Purpose

Methods

Results

Conclusion

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