title: Superficial vessel reconstruction with a multiview camera system.
abstract: We aim at reconstructing superficial vessels of the brain. Ultimately, they will serve to guide the deformation methods to compensate for the brain shift. A pipeline for three-dimensional (3-D) vessel reconstruction using three mono-complementary metal-oxide semiconductor cameras has been developed. Vessel centerlines are manually selected in the images. Using the properties of the Hessian matrix, the centerline points are assigned direction information. For correspondence matching, a combination of methods was used. The process starts with epipolar and spatial coherence constraints (geometrical constraints), followed by relaxation labeling and an iterative filtering where the 3-D points are compared to surfaces obtained using the thin-plate spline with decreasing relaxation parameter. Finally, the points are shifted to their local centroid position. Evaluation in virtual, phantom, and experimental images, including intraoperative data from patient experiments, shows that, with appropriate camera positions, the error estimates (root-mean square error and mean error) are [Formula: see text].
authors.affiliation: Linköping University, Center for Medical Image Science and Visualization, Campus US, Linköping SE-581 85, Sweden; Linköping University, Department of Science and Technology-Media and Information Technology, Campus Norrköping, Norrköping SE-601 74, Sweden; Linköping University, Department of Medical and Health Sciences, Campus US, Linköping SE-581 85, Sweden.
authors.forename: Filipe M M
authors.initials: FM
authors.lastname: Marreiros
authors.affiliation: County Council of Östergötland , Department of Neurosurgery, Linköping University, Campus US, Linköping SE-581 85, Sweden.
authors.forename: Sandro
authors.initials: S
authors.lastname: Rossitti
authors.affiliation: County Council of Östergötland , Department of Neurosurgery, Linköping University, Campus US, Linköping SE-581 85, Sweden.
authors.forename: Per M
authors.initials: PM
authors.lastname: Karlsson
authors.affiliation: Linköping University, Center for Medical Image Science and Visualization, Campus US, Linköping SE-581 85, Sweden; Royal Institute of Technology, School of Technology and Health, Alfred Nobels Allé 10, Huddinge SE-141 52, Sweden.
authors.forename: Chunliang
authors.initials: C
authors.lastname: Wang
authors.affiliation: XM Reality AB , Diskettgatan 11B, Linköping SE-583 35, Sweden.
authors.forename: Torbjörn
authors.initials: T
authors.lastname: Gustafsson
authors.affiliation: XM Reality AB , Diskettgatan 11B, Linköping SE-583 35, Sweden.
authors.forename: Per
authors.initials: P
authors.lastname: Carleberg
authors.affiliation: Linköping University, Center for Medical Image Science and Visualization, Campus US, Linköping SE-581 85, Sweden; Linköping University, Department of Science and Technology-Media and Information Technology, Campus Norrköping, Norrköping SE-601 74, Sweden; Linköping University, Department of Medical and Health Sciences, Campus US, Linköping SE-581 85, Sweden; Royal Institute of Technology, School of Technology and Health, Alfred Nobels Allé 10, Huddinge SE-141 52, Sweden.
authors.forename: Örjan
authors.initials: Ö
authors.lastname: Smedby
keywords: brain shift correction; multiview geometry; three-dimensional vessel tracking