Non-rigid image registration with equally weighted assimilated surface constraint

Cheng Zhang, Gary E. Christensen, Martin J. Murphy, Elisabeth Weiss, Jeffrey F. Williamson

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

1 Scopus citations


An important research problem in image-guided radiation therapy is how to accurately register daily onboard Cone-beam CT (CBCT) images to higher quality pretreatment fan-beam CT (FBCT) images. Assuming the organ segmentations are both available on CBCT and FBCT images, methods have been proposed to use them to help the intensity-driven image registration. Due to the low contrast between soft-tissue structures exhibited in CBCT, the interobserver contouring variability (expressed as standard deviation) can be as large as 2-3 mm and varies systematically with organ, and relative location on each organ surface. Therefore the inclusion of the segmentations into registration may degrade registration accuracy. To address this issue we propose a surface assimilation method that estimates a new surface from the manual segmentation from a priori organ shape knowledge and the interobserver segmentation error. Our experiment results show the proposed method improves registration accuracy compared to previous methods.

Original languageEnglish
Title of host publicationBiomedical Image Registration - 6th International Workshop, WBIR 2014, Proceedings
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783319085531
StatePublished - 2014
Event6th International Workshop on Biomedical Image Registration, WBIR 2014 - London, United Kingdom
Duration: Jul 7 2014Jul 8 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8545 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference6th International Workshop on Biomedical Image Registration, WBIR 2014
Country/TerritoryUnited Kingdom


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