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Proceedings Paper

Improving an affine and non-linear image registration and/or segmentation task by incorporating characteristics of the displacement field
Author(s): Konstantin Ens; Stefan Heldmann; Jan Modersitzki; Bernd Fischer
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Paper Abstract

Image registration is an important and active area of medical image processing. Given two images, the idea is to compute a reasonable displacement field which deforms one image such that it becomes similar to the other image. The design of an automatic registration scheme is a tricky task and often the computed displacement field has to be discarded, when the outcome is not satisfactory. On the other hand, however, any displacement field does contain useful information on the underlying images. It is the idea of this note, to utilize this information and to benefit from an even unsuccessful attempt for the subsequent treatment of the images. Here, we make use of typical vector analysis operators like the divergence and curl operator to identify meaningful portions of the displacement field to be used in a follow-up run. The idea is illustrated with the help of academic as well as a real life medical example. It is demonstrated on how the novel methodology may be used to substantially improve a registration result and to solve a difficult segmentation problem.

Paper Details

Date Published: 27 March 2009
PDF: 8 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 725932 (27 March 2009); doi: 10.1117/12.811139
Show Author Affiliations
Konstantin Ens, Univ. of Lubeck (Germany)
Philips Research Europe (Germany)
Stefan Heldmann, Univ. of Lubeck (Germany)
Jan Modersitzki, McMaster Univ. (Canada)
Bernd Fischer, Univ. of Lubeck (Germany)

Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)

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