Segmented deformable registration for improved modeling of the lungs

Y. Q. Xie, W. Liu, M. Chao, S. L. Bao, L. Xing

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

Abstract

To report a segmented image registration strategy with explicit inclusion of the differential motions of thoracic structures. The proposed technique started with autoidentification of a number of corresponding points. A thinplate spline (TPS) method was used to register a structure characterized by the control points with a given "color". A comparison with the conventional TPS method showed that the registration accuracy was markedly improved when the differential motions of the lung and chest wall were taken into account. The segmented deformable approach provides a natural and logical solution to model the discontinuous organ motions and greatly improves the accuracy and robustness of deformable registration.

Original languageEnglish
Title of host publicationWorld Congress on Medical Physics and Biomedical Engineering
Subtitle of host publicationRadiation Oncology
PublisherSpringer Verlag
Pages635-637
Number of pages3
Edition1
ISBN (Print)9783642034725
DOIs
StatePublished - 2009
Externally publishedYes
EventWorld Congress on Medical Physics and Biomedical Engineering: Radiation Oncology - Munich, Germany
Duration: 7 Sep 200912 Sep 2009

Publication series

NameIFMBE Proceedings
Number1
Volume25
ISSN (Print)1680-0737

Conference

ConferenceWorld Congress on Medical Physics and Biomedical Engineering: Radiation Oncology
Country/TerritoryGermany
CityMunich
Period7/09/0912/09/09

Keywords

  • Deformable image registration
  • Image-guided radiation therapy
  • Segmentation

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