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Publication Detail
A Statistical Model of Respiratory Motion and Deformation of the Liver
  • Publication Type:
    Conference
  • Authors:
    Blackall JM, King AP, Penney GP, Adam A, Hawkes DJ
  • Publication date:
    01/01/2001
  • Pagination:
    1338, 1340
  • Published proceedings:
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume:
    2208
  • ISBN-10:
    3540426973
  • ISBN-13:
    9783540454687
  • Status:
    Published
  • Print ISSN:
    0302-9743
Abstract
© Springer-Verlag Berlin Heidelberg 2001. This paper presents a statistical model of the respiratory motion and deformation of the liver. Individual models were made for seven volunteers using a series of MR images taken throughout the breathing cycle. One image was selected as a template and the others were registered to this using an intensity-based non-rigid registration algorithm. The resulting free-form transformations allowed us to map landmarks defined on the template image into their correct positions throughout the breathing cycle. Principal component analysis of these landmarks was used to produce a statistical model of motion and deformation. Results showing typical motion and deformation for a single volunteer are presented.
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