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Superficial vessel reconstruction with a multiview camera system
KTH, School of Technology and Health (STH), Medical Engineering, Medical Image Processing and Visualization.
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2016 (English)In: Journal of Medical Imaging, ISSN 2329-4302, E-ISSN 2329-4310, Vol. 3, no 1, 015001Article in journal (Refereed) PublishedText
Abstract [en]

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 similar to 1 mm.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2016. Vol. 3, no 1, 015001
Keyword [en]
brain shift correction, three-dimensional vessel tracking, multiview geometry
National Category
Medical Image Processing
URN: urn:nbn:se:kth:diva-188117DOI: 10.1117/1.JMI.3.1.015001ISI: 000374236300026PubMedID: 26759814OAI: diva2:934617

QC 20160609

Available from: 2016-06-09 Created: 2016-06-03 Last updated: 2016-06-09Bibliographically approved

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