Neil T. Clancy, Hannes Kenngott, Eric Heim, Sebastian Bodenstedt, Pierre Jannin, Adrien Bartoli, Anja Groch, Thomas Kilgus, D. Oladokun, Joachim Hornegger, T. R. Dos Santos, Daniel S. Elson, Alexander Seitel, Beat P. Müller-Stich, Sven Haase, Stefanie Speidel, G. Boissonnat, Sebastian Röhl, Martin Wagner, Ping-Lin Chang, Heinz Peter Schlemmer, Lena Maier-Hein, Danail Stoyanov, Imperial College London, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), University College of London [London] (UCL), 242991, European Research Council, II3A110910038, NIHR i4i, Royal Academy of Engineering/EPSRC Research Fellowship, Imperial College Junior Research Fellowship, European Social Fund of the State Baden-Wuerttemberg, German Research Foundation, Université de Rennes 1 (UR1), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)
International audience; Intra-operative imaging techniques for obtaining the shape and morphology of soft-tissue surfaces in vivo are a key enabling technology for advanced surgical systems. Different optical techniques for 3-D surface reconstruction in laparoscopy have been proposed, however, so far no quantitative and comparative validation has been performed. Furthermore, robustness of the methods to clinically important factors like smoke or bleeding has not yet been assessed. To address these issues, we have formed a joint international initiative with the aim of validating different state-of-the-art passive and active reconstruction methods in a comparative manner. In this comprehensive in vitro study, we investigated reconstruction accuracy using different organs with various shape and texture and also tested reconstruction robustness with respect to a number of factors like the pose of the endoscope as well as the amount of blood or smoke present in the scene. The study suggests complementary advantages of the different techniques with respect to accuracy, robustness, point density, hardware complexity and computation time. While reconstruction accuracy under ideal conditions was generally high, robustness is a remaining issue to be addressed. Future work should include sensor fusion and in vivo validation studies in a specific clinical context. To trigger further research in surface reconstruction, stereoscopic data of the study will be made publically available at www.open-CAS.com upon publication of the paper.