Current methods for lung registration

  • Alexander Schmidt-Richberg
Part of the Aktuelle Forschung Medizintechnik book series (MEDTEC)


The determination of correspondences between two or more images is required in almost every field of medical image processing. Consequently, a vast diversity of registration algorithms has been developed in the past, which is documented by several review articles [Brown 1992; Maintz and Viergever 1998; Hill et al. 2001; Zitova and Flusser 2003; Oliveira and Tavares 2012; Sotiras et al. 2012] and books [Hajnal et al. 2001; Modersitzki 2004; Goshtasby 2012a] published on this topic.


Mutual Information Image Registration Transformation Model Markov Random Fields Registration Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Fachmedien Wiesbaden 2014

Authors and Affiliations

  1. 1.University of LübeckLübeckGermany

Personalised recommendations