Mass Preserving Registration for lung CT

Vladlena Gorbunova, Pechin Chien Pau Lo, Martin Loeve, Harm Tiddens, Jon Sporring, Mads Nielsen, Marleen de Bruijne

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

2 Citations (Scopus)

Abstract

In this paper, we evaluate a novel image registration method on a set of expiratory-inspiratory pairs of computed tomography (CT) lung scans. A free-form multi resolution image registration technique is used to match two scans of the same subject. To account for the differences in the lung intensities due to differences in inspiration level, we propose to adjust the intensity of lung tissue according to the local expansion or compression. An image registration method without intensity adjustment is compared to the proposed method. Both approaches are evaluated on a set of 10 pairs of expiration and inspiration CT scans of children with cystic fibrosis lung disease. The proposed method with mass preserving adjustment results in significantly better alignment of the vessel trees. Analysis of local volume change for regions with trapped air compared to normally ventilated regions revealed larger differences between these regions in the case of mass preserving image registration, indicating that mass preserving registration is better at capturing localized differences in lung deformation.
Original languageEnglish
Title of host publicationProceedings of the SPIE : Medical Imaging 2009: Image Processing
Number of pages10
Volume7259
Publication date2009
ISBN (Print)9780819475107
DOIs
Publication statusPublished - 2009
EventProceedings of the SPIE - Orlando, Florida, United States
Duration: 7 Feb 200912 Feb 2009

Conference

ConferenceProceedings of the SPIE
Country/TerritoryUnited States
CityOrlando, Florida
Period07/02/200912/02/2009
SeriesProceedings of the SPIE
Volume7259
ISSN0277-786X

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