A novel approach for global lung registration using 3D Markov-Gibbs appearance model

Ayman El-Baz, Fahmi Khalifa, Ahmed Elnakib, Matthew Nitzken, Ahmed Soliman, Patrick McClure, Mohamed Abou El-Ghar, Georgy Gimel’Farb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Scopus citations


A new approach to align 3D CT data of a segmented lung object with a given prototype (reference lung object) using an affine transformation is proposed. Visual appearance of the lung from CT images, after equalizing their signals, is modeled with a new 3D Markov- Gibbs random field (MGRF) with pairwise interaction model. Similarity to the prototype is measured by a Gibbs energy of signal co-occurrences in a characteristic subset of voxel pairs derived automatically from the prototype. An object is aligned by an affine transformation maximizing the similarity by using an automatic initialization followed by a gradient search. Experiments confirm that our approach aligns complex objects better than popular conventional algorithms.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI2012 - 15th International Conference, Proceedings
EditorsGeorg Langs, Georg Langs, Antonio Criminisi, Bjoern H. Menze, Zhuowen Tu, Nicholas Ayache, Hervé Delingette, Albert Montillo, Le Lu, Bjoern H. Menze, Polina Golland, Kensaku Mori
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783642334177
StatePublished - 2012
Event15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012 - Nice, France
Duration: Oct 5 2012Oct 5 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7511 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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