Contactless surface registration of featureless anatomy using structured light camera: application to fibula navigation in mandible reconstruction.

Fibula Mandibular reconstruction Structured light scanner Surface-based registration

Journal

International journal of computer assisted radiology and surgery
ISSN: 1861-6429
Titre abrégé: Int J Comput Assist Radiol Surg
Pays: Germany
ID NLM: 101499225

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 10 01 2023
accepted: 16 05 2023
pubmed: 4 6 2023
medline: 4 6 2023
entrez: 4 6 2023
Statut: ppublish

Résumé

Mandibular reconstruction using fibula free flap is a challenging surgical procedure. To assist osteotomies, computer-assisted surgery (CAS) can be used. Nevertheless, precise registration is required and often necessitates anchored markers that disturb the patient and clinical flow. This work proposes a new contactless surface-based method adapted to featureless anatomies such as fibula to achieve a fast, precise, and reproducible registration. Preoperatively, a CT-scan of the patient is realized and osteotomies are virtually planned. During surgery, a structured light camera digitizes the fibula. The obtained intraoperative point cloud is coarsely registered with the preoperative model using 3 points defined in the CT-scan and located on the patient's bone with a laser beam. Then, a fine registration is performed using an ICP algorithm. The registration accuracy was evaluated comparing the position of points engraved in a 3D-printed fibula with their position in the registered model and evaluating resulting osteotomies. Accuracy and execution time were compared to a conventional stylus-based registration method. The work was validated in vivo. The experiment performed on a 3D-printed model showed that execution time is equivalent to surface-based registration using a stylus, with a better accuracy (mean TRE of 0.9 mm vs 1.3 mm using stylus) and guarantee good osteotomies. The preliminary in vivo study proved the feasibility of the method. The proposed contactless surface-based registration method using structured light camera gave promising results in terms of accuracy and execution speed and should be useful to implement CAS for mandibular reconstruction.

Identifiants

pubmed: 37270743
doi: 10.1007/s11548-023-02966-3
pii: 10.1007/s11548-023-02966-3
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2073-2082

Informations de copyright

© 2023. CARS.

Références

Hidalgo DA (1989) Fibula free flap: a new method of mandible reconstruction. Plast Reconstr Surg 84(1):71–79
doi: 10.1097/00006534-198907000-00014 pubmed: 2734406
Blackwell KE, Brown MT, Gonzalez D (1997) Overcoming the learning curve in microvascular head and neck reconstruction. Arch Otolaryngol Head Neck Surg 123(12):1332–1335
doi: 10.1001/archotol.1997.01900120082013 pubmed: 9413363
Niklas R, Rainer KM, Hagen RN, Josef BFM, Klaus-Dietrich W, Jochen W (2017) Mandible reconstruction with free fibula flaps: outcome of a cost-effective individual planning concept compared with virtual surgical planning. J Cranio-Maxillofac Surg 45(8):1246–1250
doi: 10.1016/j.jcms.2017.04.010
Fan W, Dai Y, Giordano G (2020) CAOS TKA provides improved functional outcomes compared to conventional TKA. In: CAOS 2020. The 20th annual meeting of the international society for computer assisted orthopaedic surgery, pp 74–69
Shan X-F, Chen H-M, Liang J, Huang J-W, Zhang L, Cai Z-G, Chuanbin G (2016) Surgical navigation-assisted mandibular reconstruction with fibula flaps. Int J Oral Maxillofac Surg 45(4):448–453
doi: 10.1016/j.ijom.2015.08.1006 pubmed: 26723498
Li P, Xuan M, Liao C, Tang W, Wang X, Tian W, Long J (2016) Application of intraoperative navigation for the reconstruction of mandibular defects with microvascular fibular flaps-preliminary clinical experiences. J Craniofac Surg 27(3):751–755
Chao AH, Weimer K, Raczkowsky J, Zhang Y, Kunze M, Cody D, Selber JC, Hanasono MM, Skoracki RJ (2016) Pre-programmed robotic osteotomies for fibula free flap mandible reconstruction: a preclinical investigation: robotic osteotomies of fibula free flaps. Microsurgery 36(3):246–249
doi: 10.1002/micr.30013 pubmed: 26663239
Zhu J-H, Deng J, Liu X-J, Wang J, Guo Y-X, Guo C-B (2016) Prospects of robot-assisted mandibular reconstruction with fibula flap: comparison with a computer-assisted navigation system and freehand technique. J Reconstr Microsurg 32(9):661–669
doi: 10.1055/s-0036-1584805 pubmed: 27351937
de Boutray M, Cavalcanti Santos J, Bourgeade A, Ohayon M, Chammas P-E, Garrel R, Poignet P, Zemiti N (2022) Fibular registration using surface matching in navigation-guided osteotomies: a proof of concept study on 3d-printed models. Int J Comput Assist Radiol Surg 17(7):1321–1331
doi: 10.1007/s11548-022-02608-0 pubmed: 35377035
Hoffmann J, Westendorff C, Leitner C, Bartz D, Reinert S (2005) Validation of 3d-laser surface registration for image-guided cranio-maxillofacial surgery. J Cranio-Maxillofac Surg 33(1):13–18
doi: 10.1016/j.jcms.2004.10.001
Sta S, Ogor J, Letissier H, Stindel E, Hamitouche C, Dardenne G (2021) Towards markerless computer assisted surgery: application to total knee arthroplasty. Int J Med Robot Comput Assist Surg 17:e2296
doi: 10.1002/rcs.2296
Torres PMB, Gonçalves PJS, Martins JMM (2018) Robotic system navigation developed for hip resurfacing prosthesis surgery. In: Husty M, Hofbaur M (eds) New trends in medical and service robots, vol 48. Mechanisms and machine science. Springer, Berlin, pp 173–183
doi: 10.1007/978-3-319-59972-4_13
Enebuse I, Foo M, Ibrahim BSKK, Ahmed H, Supmak F, Eyobu OS (2021) A comparative review of hand-eye calibration techniques for vision guided robots. IEEE Access 9:113143–113155
doi: 10.1109/ACCESS.2021.3104514
Kahn S, Haumann D, Willert V (2014) Hand-eye calibration with a depth camera: 2D OR 3D? In: 2014 international conference on computer vision theory and applications (VISAPP), vol 3, pp 481–489
Cuau L (2022) Fast and automatic optical 3D cameras calibration for contactless surface registration in computer assisted surgery. In: 2022 11th conference on new technologies for computer and robot assisted surgery
Yang L, Cao Q, Lin M, Zhang H, Ma Z (2018) Robotic hand-eye calibration with depth camera: a sphere model approach. In: 2018 4th international conference on control, automation and robotics (ICCAR). IEEE, pp 104–110
Zhang Z (1994) Iterative point matching for registration of free-form curves and surfaces. Int J Comput Vis 13(2):119–152
doi: 10.1007/BF01427149
Yaniv Z (2015) Which pivot calibration? In Webster RJ, Ziv RY (eds) SPIE medical imaging, p 941527
Qi CR, Su H, Mo K, Guibas LJ (2016) Pointnet: deep learning on point sets for 3d classification and segmentation. CoRR, arxiv:1612.00593
Myronenko A, Song X (2010) Point set registration: coherent point drift. IEEE Trans Pattern Anal Mach Intell 32(12):2262–2275
doi: 10.1109/TPAMI.2010.46 pubmed: 20975122
Segal A, Haehnel D, Thrun S (2009) Generalized-ICP. In: Robotics: science and systems V. Robotics: Science and Systems Foundation
Yang J, Li H, Jia Y (2013) Go-ICP: solving 3d registration efficiently and globally optimally. In: 2013 IEEE international conference on computer vision. IEEE, pp 1457–1464
Pellini R, Mercante G, Spriano G (2012) Step-by-step mandibular reconstruction with free fibula flap modelling. Acta Otorhinolaryngol Ital 32(6):405–409
pubmed: 23349561 pmcid: 3552535

Auteurs

Lénaïc Cuau (L)

LIRMM, University of Montpellier, CNRS, Montpellier, France. lenaic.cuau@lirmm.fr.

Marie De Boutray (M)

LIRMM, University of Montpellier, CNRS, Montpellier, France.
Department of Maxillofacial Surgery, Gui de Chauliac University Hospital, Montpellier, France.

João Cavalcanti Santos (J)

LIRMM, University of Montpellier, CNRS, Montpellier, France.

Nabil Zemiti (N)

LIRMM, University of Montpellier, CNRS, Montpellier, France.

Philippe Poignet (P)

LIRMM, University of Montpellier, CNRS, Montpellier, France.

Classifications MeSH