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Journal of Medical Imaging

Superficial vessel reconstruction with a multiview camera system
Author(s): Filipe M. M. Marreiros; Sandro Rossitti; Per M. Karlsson; Chunliang Wang; Torbjörn Gustafsson; Per Carleberg; Örjan Smedby
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Paper 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 ∼1  mm.

Paper Details

Date Published: 5 January 2016
PDF: 13 pages
J. Med. Img. 3(1) 015001 doi: 10.1117/1.JMI.3.1.015001
Published in: Journal of Medical Imaging Volume 3, Issue 1
Show Author Affiliations
Filipe M. M. Marreiros, Linköping Univ. (Sweden)
Sandro Rossitti, Linköping Univ. (Sweden)
Per M. Karlsson, Linköping Univ. (Sweden)
Chunliang Wang, Linköping Univ. (Sweden)
KTH Royal Institute of Technology (Sweden)
Torbjörn Gustafsson, XMReality AB (Sweden)
Per Carleberg, XM Reality AB (Sweden)
Örjan Smedby, Linköping Univ. (Sweden)
KTH Royal Institute of Technology (Sweden)


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