Optimal Image Registration with a Guaranteed One-to-one Point Match

Jan Modersitzki, Bernd Fischer


Automatic, parameter-free, and non-rigid registration schemes are known to be valuable tools in various (medical) image processing applications. Typically, these approaches aim to match intensity patterns in each scan by minimizing an appropriate distance measure. The outcome of an automatic registration procedure in general matches the target image quite good on the average. However, it may by inaccurate for specific, important locations as for example anatomical landmarks. On the other hand, landmark based registration techniques are designed to accurately match user specified landmarks. A drawback of landmark based registration is that the intensities of the images are completely neglected. Consequently, the registration result away from the landmarks may be very poor. Here, we propose a framework for novel registration techniques which are capable to combine automatic and landmark driven approaches in order to benefit from the advantages of both strategies. We also propose a general, mathematical treatment of this framework and a particular implementation. The procedure computes a displacement field which is guaranteed to produce a one-to-one match between given landmarks and at the same time minimizes an intensity based measure for the remaining parts of the images.
Original languageEnglish
Title of host publicationBildverarbeitung für die Medizin 2003
EditorsThomas Wittenberg, Peter Hastreiter, Ulrich Hoppe, Heinz Handels, Alexander Horsch, Hans-Peter Meinzer
Number of pages5
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin Heidelberg
Publication date01.03.2003
ISBN (Print)978-3-540-00619-0
ISBN (Electronic)978-3-642-18993-7
Publication statusPublished - 01.03.2003
EventWorkshop on Bildverarbeitung fur die Medizin 2003 - Erlangen, Germany
Duration: 09.03.200311.03.2003


Dive into the research topics of 'Optimal Image Registration with a Guaranteed One-to-one Point Match'. Together they form a unique fingerprint.

Cite this