Sandy Engelhardt1, Raffaele De Simone2, Sameer Al-Maisary2, Silvio Kolb3, Matthias Karck2, Hans-Peter Meinzer3, Ivo Wolf3,4. 1. Medical and Biological Informatics, German Cancer Research Center (DKFZ), Heidelberg, Germany. sandy.engelhardt@dkfz.de. 2. Department of Cardiac Surgery, University Hospital Heidelberg, Heidelberg, Germany. 3. Medical and Biological Informatics, German Cancer Research Center (DKFZ), Heidelberg, Germany. 4. Department of Computer Science, Mannheim University of Applied Science, Mannheim, Germany.
Abstract
PURPOSE: Mitral valve reconstruction is a widespread surgical method to repair incompetent mitral valves, which usually includes implantation of a ring prosthesis. To date, intraoperative analysis of the mitral valve is merely based on visual assessment using simple surgical tools, which might not allow for accurate assessment of the complex anatomy. METHODS: We propose a novel intraoperative computer-based assistance system, which combines passive optical tracking technology with tailored measurement strategies applicable during different phases of the intraoperative workflow. Based on the assessment of the valvular apparatus by customized tracked instruments, the system (1) generates an enhanced three-dimensional visualization, which (2) incorporates accurate quantifications and (3) provides assistance, e.g., in terms of virtual prosthesis selection. RESULTS: Phantom experiments in a realistic environment revealed a high system accuracy (mean precision [Formula: see text] mm and mean trueness [Formula: see text] mm) and a low user error (mean precision [Formula: see text] mm and mean trueness [Formula: see text] mm). The assistance system was successfully applied five times during open and minimally invasive reconstructive surgery in patients having mitral valve insufficiency. The measurement steps integrate well into the traditional workflow, enhancing the surgeon's three-dimensional perception and generating a suggestion for an appropriate prosthesis. CONCLUSION: The proposed assistance system provides a novel, accurate, and reproducible method for assessing the valvular geometry intraoperatively.
PURPOSE: Mitral valve reconstruction is a widespread surgical method to repair incompetent mitral valves, which usually includes implantation of a ring prosthesis. To date, intraoperative analysis of the mitral valve is merely based on visual assessment using simple surgical tools, which might not allow for accurate assessment of the complex anatomy. METHODS: We propose a novel intraoperative computer-based assistance system, which combines passive optical tracking technology with tailored measurement strategies applicable during different phases of the intraoperative workflow. Based on the assessment of the valvular apparatus by customized tracked instruments, the system (1) generates an enhanced three-dimensional visualization, which (2) incorporates accurate quantifications and (3) provides assistance, e.g., in terms of virtual prosthesis selection. RESULTS: Phantom experiments in a realistic environment revealed a high system accuracy (mean precision [Formula: see text] mm and mean trueness [Formula: see text] mm) and a low user error (mean precision [Formula: see text] mm and mean trueness [Formula: see text] mm). The assistance system was successfully applied five times during open and minimally invasive reconstructive surgery in patients having mitral valve insufficiency. The measurement steps integrate well into the traditional workflow, enhancing the surgeon's three-dimensional perception and generating a suggestion for an appropriate prosthesis. CONCLUSION: The proposed assistance system provides a novel, accurate, and reproducible method for assessing the valvular geometry intraoperatively.
Authors: Peter McCulloch; Douglas G Altman; W Bruce Campbell; David R Flum; Paul Glasziou; John C Marshall; Jon Nicholl; Jeffrey K Aronson; Jeffrey S Barkun; Jane M Blazeby; Isabell C Boutron; W Bruce Campbell; Pierre-Alain Clavien; Jonathan A Cook; Patrick L Ergina; Liane S Feldman; David R Flum; Guy J Maddern; Jon Nicholl; Bournaby C Reeves; Christoph M Seiler; Steven M Strasberg; Jonathan L Meakins; Deborah Ashby; Nick Black; John Bunker; Martin Burton; Marion Campbell; Kalipso Chalkidou; Iain Chalmers; Marc de Leval; Jon Deeks; Patrick L Ergina; Adrian Grant; Muir Gray; Roger Greenhalgh; Milos Jenicek; Sean Kehoe; Richard Lilford; Peter Littlejohns; Yoon Loke; Rajan Madhock; Kim McPherson; Jonathan Meakins; Peter Rothwell; Bill Summerskill; David Taggart; Parris Tekkis; Matthew Thompson; Tom Treasure; Ulrich Trohler; Jan Vandenbroucke Journal: Lancet Date: 2009-09-26 Impact factor: 79.321
Authors: B Graser; D Wald; S Al-Maisary; M Grossgasteiger; R de Simone; H-P Meinzer; I Wolf Journal: Int J Comput Assist Radiol Surg Date: 2014-07 Impact factor: 2.924
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