Sarina Thomas1,2, Fabian Isensee3, Simon Kohl3, Maxim Privalov4, Nils Beisemann4, Benedict Swartman4, Holger Keil4, Sven Y Vetter4, Jochen Franke4, Paul A Grützner4, Lena Maier-Hein5, Marco Nolden3, Klaus Maier-Hein3. 1. Division of Medical Image Computing (E230), German Cancer Research Center, Heidelberg, Germany. s.thomas@dkfz-heidelberg.de. 2. Medical faculty, University of Heidelberg, Heidelberg, Germany. s.thomas@dkfz-heidelberg.de. 3. Division of Medical Image Computing (E230), German Cancer Research Center, Heidelberg, Germany. 4. MINTOS Research group, BG Trauma Center, Ludwigshafen, Germany. 5. Division of Computer-Assisted Medical Interventions (E130), German Cancer Research Center, Heidelberg, Germany.
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 [Formula: see text] 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.
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 [Formula: see text] 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.
Entities:
Keywords:
2D–3D reconstruction; Ankle surgery; Contralateral side comparison; Deep learning
Authors: N Baka; B L Kaptein; M de Bruijne; T van Walsum; J E Giphart; W J Niessen; B P F Lelieveldt Journal: Med Image Anal Date: 2011-05-04 Impact factor: 8.545
Authors: Marco Nolden; Sascha Zelzer; Alexander Seitel; Diana Wald; Michael Müller; Alfred M Franz; Daniel Maleike; Markus Fangerau; Matthias Baumhauer; Lena Maier-Hein; Klaus H Maier-Hein; Hans-Peter Meinzer; Ivo Wolf Journal: Int J Comput Assist Radiol Surg Date: 2013-04-16 Impact factor: 2.924
Authors: Jochen Franke; Jan von Recum; Arnold J Suda; Paul Alfred Grützner; Klaus Wendl Journal: J Bone Joint Surg Am Date: 2012-08-01 Impact factor: 5.284