Development and validation of an algorithm for registration of serial 3D MR breast data sets |
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Authors: | Reichenbach Jürgen R Hopfe Jens Bellemann Matthias E Kaiser Werner A |
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Affiliation: | (1) Institute for Diagnostic and Interventionl Radiology, Friedrich-Schiller-University, Jena, Germany;(2) Department of Biomedical Engineering, University of Applied Sciences, Jena, Germany;(3) Institut für Diagnostische und Interventionelle Radiologie, Abteilung Magnetresonanztomographie, Klinikum der Friedrich-Schiller-Universitat Jena, Philosophenvveg 3, 07743 Jena, Germany |
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Abstract: | We report on the development of an algorithm to improve the registration of serial 3D MR breast images using combined global
translation and rotation with locally varying parameters as geometric transformations. Several phantom and volunteer data
sets were acquired and registered using mutual information as a similarity measure of the matching process. After applying
a global translation by using a rigid matcher, optimum horizontal and vertical rotation angles were determined. In case of
the phantom measurements, angle optimization was performed for each slice of the 3D data set of the phantom, which was deliberately
shifted and rotated around different axes. In case of registration of volunteer data, optimum rotation parameters were calculated
for preselected equidistant slices of the data set to speed up the calculation time. For slices located between and outside
these support slices, the rotation angles were calculated by linear interpolation and extrapolation of the slope of the regression
determined by the optimized angles of the support slices. The algorithm improves the registration of serial 3D MR data sets
and represents a compromise between a rigid and an elastic 3D matching procedure. |
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Keywords: | Magnetic resonance imaging MR mammography Medical image processing Mutual information Image registration |
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