Demons registration with local affine adaptive regularization: Application to registration of abdominal structures

Moti Freiman, Stephan D. Voss, Simon K. Warfield

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present a local affine-based adaptive regularization approach as an alternative to the homogeneous regularization used in Thirion's demons non-rigid registration algorithm[1], which does not preserve the deformation field discontinuities related to the independent motion of different organs, as typically occurs during CT and MR imaging of the abdomen and pelvis. By contrast, our method fits local affine transformation to each voxel; identifies the discontinuities between the locally fitted affine transformations; and adaptively smooths the deformation field, while preserving its local affine discontinuities. Experimental results on both synthetic and real CT images demonstrate that our method at once yields a smoother deformation field and preserves registration accuracy.

Original languageEnglish
Title of host publication2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI'11
Pages1219-1222
Number of pages4
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States
Duration: 30 Mar 20112 Apr 2011

Publication series

NameProceedings - International Symposium on Biomedical Imaging

Conference

Conference2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Country/TerritoryUnited States
CityChicago, IL
Period30/03/112/04/11

Keywords

  • Adaptive regularization
  • Demons nonrigid registration
  • Locally affine registration

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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