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Metamorphic Geodesic Regression

Institution:
1University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
2Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
3University of Utah, Salt Lake City, UT, 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:
197-205
Citation:
Int Conf Med Image Comput Comput Assist Interv. 2012 Oct;15(Pt 3):197-205.
PubMed ID:
23286131
PMCID:
PMC3584322
Appears in Collections:
NA-MIC
Sponsors:
P01 DA022446/DA/NIDA NIH HHS/United States
P41 EB002025/EB/NIBIB NIH HHS/United States
P41 RR023953/RR/NCRR NIH HHS/United States
P50 MH078105/MH/NIMH NIH HHS/United States
R01 EB007688/EB/NIBIB NIH HHS/United States
R01 HL105241/HL/NHLBI NIH HHS/United States
R01 MH091645/MH/NIMH NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
Generated Citation:
Hong Y., Joshi S., Sanchez M., Styner M., Niethammer M. Metamorphic Geodesic Regression. Int Conf Med Image Comput Comput Assist Interv. 2012 Oct;15(Pt 3):197-205. PMID: 23286131. PMCID: PMC3584322.
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We propose a metamorphic geodesic regression approach approximating spatial transformations for image time-series while simultaneously accounting for intensity changes. Such changes occur for example in magnetic resonance imaging (MRI) studies of the developing brain due to myelination. To simplify computations we propose an approximate metamorphic geodesic regression formulation that only requires pairwise computations of image metamorphoses. The approximated solution is an appropriately weighted average of initial momenta. To obtain initial momenta reliably, we develop a shooting method for image metamorphosis.

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