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Proceedings Paper

Automatic extraction of the mid-sagittal plane using an ICP variant
Author(s): Lorenz Fieten; Jörg Eschweiler; Matías de la Fuente; Sascha Gravius; Klaus Radermacher
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Paper Abstract

Precise knowledge of the mid-sagittal plane is important for the assessment and correction of several deformities. Furthermore, the mid-sagittal plane can be used for the definition of standardized coordinate systems such as pelvis or skull coordinate systems. A popular approach for mid-sagittal plane computation is based on the selection of anatomical landmarks located either directly on the plane or symmetrically to it. However, the manual selection of landmarks is a tedious, time-consuming and error-prone task, which requires great care. In order to overcome this drawback, previously it was suggested to use the iterative closest point (ICP) algorithm: After an initial mirroring of the data points on a default mirror plane, the mirrored data points should be registered iteratively to the model points using rigid transforms. Finally, a reflection transform approximating the cumulative transform could be extracted. In this work, we present an ICP variant for the iterative optimization of the reflection parameters. It is based on a closed-form solution to the least-squares problem of matching data points to model points using a reflection. In experiments on CT pelvis and skull datasets our method showed a better ability to match homologous areas.

Paper Details

Date Published: 17 March 2008
PDF: 11 pages
Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 69180L (17 March 2008); doi: 10.1117/12.770472
Show Author Affiliations
Lorenz Fieten, RWTH Aachen Univ. (Germany)
Jörg Eschweiler, RWTH Aachen Univ. (Germany)
Matías de la Fuente, RWTH Aachen Univ. (Germany)
Sascha Gravius, Univ. Hospital Bonn (Germany)
Klaus Radermacher, RWTH Aachen Univ. (Germany)

Published in SPIE Proceedings Vol. 6918:
Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kevin Robert Cleary, Editor(s)

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