E
Erwan Kerrien
Researcher at French Institute for Research in Computer Science and Automation
Publications - 83
Citations - 1199
Erwan Kerrien is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Position (vector) & Medical imaging. The author has an hindex of 17, co-authored 82 publications receiving 1102 citations. Previous affiliations of Erwan Kerrien include University of Lorraine & General Electric.
Papers
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Journal ArticleDOI
Intracranial aneurysms: clinical value of 3D digital subtraction angiography in the therapeutic decision and endovascular treatment.
R. Anxionnat,Serge Bracard,Xavier Ducrocq,Yves Trousset,Laurent Launay,Erwan Kerrien,Marc Braun,Regis Vaillant,Francesco Scomazzoni,Ariel Lebedinsky,Luc Picard +10 more
TL;DR: Three-dimensional DSA is valuable for evaluating the potential for EVT, finding a working view, and performing accurate measurements.
Proceedings ArticleDOI
Image-guided simulation of heterogeneous tissue deformation for augmented reality during hepatic surgery
Nazim Haouchine,Jeremie Dequidt,Igor Peterlik,Erwan Kerrien,Marie-Odile Berger,Stéphane Cotin +5 more
TL;DR: This method uses a real-time biomechanical model to compute a volumetric displacement field from partial three-dimensional liver surface motion that permits to properly handle the motion of internal structures even in the case of anisotropic or heterogeneous tissues.
Journal ArticleDOI
Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery
Nazim Haouchine,Stéphane Cotin,Igor Peterlik,Jeremie Dequidt,Mario Sanz Lopez,Erwan Kerrien,Marie-Odile Berger +6 more
TL;DR: This method is able to locate the in-depth positions of the tumors based on partial three-dimensional liver tissue motion using a real-time biomechanical model and permits to properly handle the motion of internal structures even in the case of anisotropic or heterogeneous tissues.
Book ChapterDOI
Fully Automatic 3D/2D Subtracted Angiography Registration
TL;DR: This work has studied the precision reached by registering such volumes with classical 2-D angiography images, inferring this matching only from the sensors of the angiograph machine, and described the error led by such a registration.
Journal ArticleDOI
Automatic detection of pith on CT images of spruce logs
TL;DR: A method for a detection of the pith along a log is proposed, which is able to deal with the problem of the presence of whorls and can be considered as a preliminary step to detection of other objects such as knots.