4D Lung Reconstruction with Phase Optimization

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2009

View graph of relations

This paper investigates and demonstrates a 4D lung CT reconstruction/registration method which results in a complete volumetric model of the lung that deforms according to a respiratory motion field. The motion field is estimated iteratively between all available slice samples and a reference volume which is updated on the fly. The method is two part and the second part of the method aims to correct wrong phase information by employing another iterative optimizer. This two part iterative optimization allows for complete reconstruction at any phase and it will be demonstrated that it is better than using an optimization which does not correct for phase errors. Knowing how the lung and any tumors located within the lung deforms is relevant in planning the treatment of lung cancer.
Original languageEnglish
Title of host publicationIFMBE Proceedings
Volume25/4
Place of publicationMunich
PublisherSpringer Berlin Heidelberg
Publication date2009
Pages2227-2230
DOIs
StatePublished

Conference

ConferenceWorld Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
Period01/01/09 → …
CitationsWeb of Science® Times Cited: No match on DOI

Keywords

  • Motion correction, 4D Lung CT
Download as:
Download as PDF
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
Word

ID: 4185550