Skip to main content
Top
Published in: International Journal of Computer Assisted Radiology and Surgery 12/2019

07-08-2019 | Original Article

Computer-assisted intra-operative verification of surgical outcome for the treatment of syndesmotic injuries through contralateral side comparison

Authors: Sarina Thomas, Fabian Isensee, Simon Kohl, Maxim Privalov, Nils Beisemann, Benedict Swartman, Holger Keil, Sven Y. Vetter, Jochen Franke, Paul A. Grützner, Lena Maier-Hein, Marco Nolden, Klaus Maier-Hein

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 12/2019

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Purpose:

Fracture reduction and fixation of syndesmotic injuries is a common procedure in trauma surgery. An intra-operative evaluation of the surgical outcome is challenging due to high inter-individual anatomical variation. A comparison to the contralateral uninjured ankle would be highly beneficial but would also incur additional radiation and time consumption. In this work, we pioneer automatic contralateral side comparison while avoiding an additional 3D scan.

Methods:

We reconstruct an accurate 3D surface of the uninjured ankle joint from three low-dose 2D fluoroscopic projections. Through CNN complemented 3D shape model segmentation, we create a reference model of the injured ankle while addressing the issues of metal artifacts and initialization. Following 2D–3D multiple bone reconstruction, a final reference contour can be created and matched to the uninjured ankle for contralateral side comparison without any user interaction.

Results:

The accuracy and robustness of individual workflow steps were assessed using 81 C-arm datasets, with 2D and 3D images available for injured and uninjured ankles. Furthermore, the entire workflow was tested on eleven clinical cases. These experiments showed an overall average Hausdorff distance of \(2.4\pm 1.1\) mm measured at clinical evaluation level.

Conclusion:

Reference contours of the contralateral side reconstructed from three projection images can assist surgeons in optimizing reduction results, reducing the duration of radiation exposure and potentially improving postoperative outcomes in the long term.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literature
2.
go back to reference Franke J, von Recum J, Suda AJ, Grützner PA, Wendl K (2012) Intraoperative three-dimensional imaging in the treatment of acute unstable syndesmotic injuries. J Bone Jt Surg 94(15):1386–1390CrossRef Franke J, von Recum J, Suda AJ, Grützner PA, Wendl K (2012) Intraoperative three-dimensional imaging in the treatment of acute unstable syndesmotic injuries. J Bone Jt Surg 94(15):1386–1390CrossRef
3.
go back to reference Elgafy H, Semaan HB, Blessinger B, Wassef A, Ebraheim NA (2010) Computed tomography of normal distal tibiofibular syndesmosis. Skelet Radiol 39(6):559–564CrossRef Elgafy H, Semaan HB, Blessinger B, Wassef A, Ebraheim NA (2010) Computed tomography of normal distal tibiofibular syndesmosis. Skelet Radiol 39(6):559–564CrossRef
4.
go back to reference Mukhopadhyay S, Metcalfe A, Guha A, Mohanty K, Hemmadi S, Lyons K, O’Doherty D (2011) Malreduction of syndesmosis–are we considering the anatomical variation? Injury 42(10):1073–1076CrossRefPubMed Mukhopadhyay S, Metcalfe A, Guha A, Mohanty K, Hemmadi S, Lyons K, O’Doherty D (2011) Malreduction of syndesmosis–are we considering the anatomical variation? Injury 42(10):1073–1076CrossRefPubMed
5.
go back to reference Nakajima Y, Tashiro T, Sugano N, Yonenobu K, Koyama T, Maeda Y, Tamura Y, Saito M, Tamura S, Mitsuishi M, Sugita N, Sakuma I, Ochi T, Matsumoto Y (2007) Fluoroscopic bone fragment tracking for surgical navigation in femur fracture reduction by incorporating optical tracking of hip joint rotation center. IEEE Trans Biomed Eng 54(9):1703–1706CrossRefPubMed Nakajima Y, Tashiro T, Sugano N, Yonenobu K, Koyama T, Maeda Y, Tamura Y, Saito M, Tamura S, Mitsuishi M, Sugita N, Sakuma I, Ochi T, Matsumoto Y (2007) Fluoroscopic bone fragment tracking for surgical navigation in femur fracture reduction by incorporating optical tracking of hip joint rotation center. IEEE Trans Biomed Eng 54(9):1703–1706CrossRefPubMed
6.
go back to reference Zheng G, Yu W (2017) Statistical shape and deformation models based 2D–3D reconstruction. In: Zheng G, Li S, Székely G (eds) Statistical shape and deformation analysis. Academic Press, Cambridge, pp 329–349CrossRef Zheng G, Yu W (2017) Statistical shape and deformation models based 2D–3D reconstruction. In: Zheng G, Li S, Székely G (eds) Statistical shape and deformation analysis. Academic Press, Cambridge, pp 329–349CrossRef
7.
go back to reference Görres J, Brehler M, Franke J, Vetter S, Grützner P, Meinzer H-P, Wolf I (2016) Articular surface segmentation using active shape models for intraoperative implant assessment. Int JCARS 11(9):1661–1672 Görres J, Brehler M, Franke J, Vetter S, Grützner P, Meinzer H-P, Wolf I (2016) Articular surface segmentation using active shape models for intraoperative implant assessment. Int JCARS 11(9):1661–1672
8.
go back to reference Varnavas A, Carrell T, Penney G (2015) Fully automated 2D–3D registration and verification. IEEE Trans Med Imaging 26(1):108–119 Varnavas A, Carrell T, Penney G (2015) Fully automated 2D–3D registration and verification. IEEE Trans Med Imaging 26(1):108–119
9.
go back to reference Gong RH, Güler Ö, Kürklüoglu M, Lovejoy J, Yaniv Z (2013) Interactive initialization of 2D/3D rigid registration. Med Phys 40(12):121911CrossRefPubMed Gong RH, Güler Ö, Kürklüoglu M, Lovejoy J, Yaniv Z (2013) Interactive initialization of 2D/3D rigid registration. Med Phys 40(12):121911CrossRefPubMed
10.
go back to reference Avendi M, Kheradvar A, Jafarkhani H (2016) A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI. IEEE Trans Med Imaging 30:108–19 Avendi M, Kheradvar A, Jafarkhani H (2016) A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI. IEEE Trans Med Imaging 30:108–19
11.
go back to reference Markelj P, Tomazevic D, Likar B, Pernus F (2012) A review of 3D/2D registration methods for image-guided interventions. IEEE Trans Med Imaging 16(3):642–661 Markelj P, Tomazevic D, Likar B, Pernus F (2012) A review of 3D/2D registration methods for image-guided interventions. IEEE Trans Med Imaging 16(3):642–661
12.
go back to reference Reyneke CJ, Luthi M, Burdin V, Douglas TS, Vetter T, Mutsvangwa TE (2018) Review of 2D/3D reconstruction using statistical shape and intensity models and x-ray image synthesis: towards a unified framework. IEEE Rev Biomed Eng 3333:1–17 Reyneke CJ, Luthi M, Burdin V, Douglas TS, Vetter T, Mutsvangwa TE (2018) Review of 2D/3D reconstruction using statistical shape and intensity models and x-ray image synthesis: towards a unified framework. IEEE Rev Biomed Eng 3333:1–17
13.
go back to reference Yu W, Chu C, Tannast M, Zheng G (2016) Fully automatic reconstruction of personalized 3D volumes of the proximal femur from 2D x-ray images. Int JCARS 11(9):1673–1685 Yu W, Chu C, Tannast M, Zheng G (2016) Fully automatic reconstruction of personalized 3D volumes of the proximal femur from 2D x-ray images. Int JCARS 11(9):1673–1685
14.
go back to reference Baka N, Kaptein B, de Bruijne M, van Walsum T, Giphart J, Niessen W, Lelieveldt B (2011) 2D–3D shape reconstruction of the distal femur from stereo x-ray imaging using statistical shape models. IEEE Trans Med Imaging 15(6):840–850 Baka N, Kaptein B, de Bruijne M, van Walsum T, Giphart J, Niessen W, Lelieveldt B (2011) 2D–3D shape reconstruction of the distal femur from stereo x-ray imaging using statistical shape models. IEEE Trans Med Imaging 15(6):840–850
15.
go back to reference Novikov AA, Major D, Lenis D, Hladuvka J, Wimmer M, Bühler K (2017) Fully convolutional architectures for multi-class segmentation in chest radiograph. CoRR, arXiv:abs/1701.08816 Novikov AA, Major D, Lenis D, Hladuvka J, Wimmer M, Bühler K (2017) Fully convolutional architectures for multi-class segmentation in chest radiograph. CoRR, arXiv:​abs/​1701.​08816
16.
go back to reference Heimann T, Münzing S, Meinzer H-P, Wolf I (2007) A shape-guided deformable model with evolutionary algorithm initialization for 3D soft tissue segmentation. Inf Process Med Imaging 20:1–12PubMed Heimann T, Münzing S, Meinzer H-P, Wolf I (2007) A shape-guided deformable model with evolutionary algorithm initialization for 3D soft tissue segmentation. Inf Process Med Imaging 20:1–12PubMed
17.
go back to reference Goodall C (1991) Procrustes methods in the statistical analysis of shape. J R Stat Soc Ser B (Methodol) 53:285–339 Goodall C (1991) Procrustes methods in the statistical analysis of shape. J R Stat Soc Ser B (Methodol) 53:285–339
18.
go back to reference Ronneberger O, Fischer P, Brox T (2015) U-net: convolutional networks for biomedical image segmentation. Med Image Comput Comput Assist Interv MICCAI 9351:234–241 Ronneberger O, Fischer P, Brox T (2015) U-net: convolutional networks for biomedical image segmentation. Med Image Comput Comput Assist Interv MICCAI 9351:234–241
19.
go back to reference Nolden M, Zelzer S, Seitel A, Wald D, Müller M, Franz AM, Maleike D, Fangerau M, Baumhauer M, Maier-Hein L, Maier-Hein KH, Meinzer H-P, Wolf I (2013) The medical imaging interaction toolkit: challenges and advances. Int JCARS 8(4):607–620 Nolden M, Zelzer S, Seitel A, Wald D, Müller M, Franz AM, Maleike D, Fangerau M, Baumhauer M, Maier-Hein L, Maier-Hein KH, Meinzer H-P, Wolf I (2013) The medical imaging interaction toolkit: challenges and advances. Int JCARS 8(4):607–620
Metadata
Title
Computer-assisted intra-operative verification of surgical outcome for the treatment of syndesmotic injuries through contralateral side comparison
Authors
Sarina Thomas
Fabian Isensee
Simon Kohl
Maxim Privalov
Nils Beisemann
Benedict Swartman
Holger Keil
Sven Y. Vetter
Jochen Franke
Paul A. Grützner
Lena Maier-Hein
Marco Nolden
Klaus Maier-Hein
Publication date
07-08-2019
Publisher
Springer International Publishing
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 12/2019
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-019-02043-8

Other articles of this Issue 12/2019

International Journal of Computer Assisted Radiology and Surgery 12/2019 Go to the issue

Premium Partner