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Longitudinal Image Registration with Non-uniform Appearance Change

Institution:
1University of North Carolina at Chapel Hill, NC, USA. icsapo@cs.unc.edu
2Biomedical Research Imaging Center, UNC Chapel Hill, NC, USA.
3Kitware, Inc., Carrboro, NC, USA.
4Emory University, Atlanta, GA, USA.
Publisher:
Int Conf Med Image Comput Comput Assist Interv. MICCAI 2012
Publication Date:
Oct-2012
Journal:
Med Image Comput Comput Assist Interv
Volume Number:
15
Issue Number:
Pt 3
Pages:
280-8
Citation:
Int Conf Med Image Comput Comput Assist Interv. 2012 Oct;15(Pt 3):280-8.
PubMed ID:
23286141
PMCID:
PMC3584325
Appears in Collections:
NA-MIC
Sponsors:
P41 EB002025/EB/NIBIB NIH HHS/United States
R01 MH091645/MH/NIMH NIH HHS/United States
P01 DA022446/DA/NIDA NIH HHS/United States
P41 EB002025/EB/NIBIB NIH HHS/United States
P50 MH078105/MH/NIMH NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
Generated Citation:
Csapo I., Davis B., Shi Y., Sanchez M., Styner M., Niethammer M. Longitudinal Image Registration with Non-uniform Appearance Change. Int Conf Med Image Comput Comput Assist Interv. 2012 Oct;15(Pt 3):280-8. PMID: 23286141. PMCID: PMC3584325.
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Longitudinal imaging studies are frequently used to investigate temporal changes in brain morphology. Image intensity may also change over time, for example when studying brain maturation. However, such intensity changes are not accounted for in image similarity measures for standard image registration methods. Hence, (i) local similarity measures, (ii) methods estimating intensity transformations between images, and (iii) metamorphosis approaches have been developed to either achieve robustness with respect to intensity changes or to simultaneously capture spatial and intensity changes. For these methods, longitudinal intensity changes are not explicitly modeled and images are treated as independent static samples. Here, we propose a model-based image similarity measure for longitudinal image registration in the presence of spatially non-uniform intensity change.

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Csapo-MICCAI2012-fig4.jpg (320.871kB)