TY - GEN
T1 - Multi-feature information-theoretic image registration
T2 - 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2011
AU - Hamrouni, S.
AU - Rougon, N.
AU - Prêteux, F.
PY - 2011/1/1
Y1 - 2011/1/1
N2 - Investigating multi-feature information-theoretic image registration, we introduce consistent and asymptotically unbiased kth-nearest neighbor (kNN) estimators of mutual information (MI), normalized MI and exclusive information applicable to high-dimensional random variables, and derive under closed-form their gradient flows over finite- and infinite-dimensional transform spaces. Using these results, we devise a novel unsupervised method for the groupwise registration of cardiac perfusion MRI exams. Here, local time-intensity curves are used as a dense set of spatio-temporal features, and statistically matched through variational optimization. Experiments on simulated and real datasets suggest the accuracy of the model for the affine registration of exams with up to 34 frames.
AB - Investigating multi-feature information-theoretic image registration, we introduce consistent and asymptotically unbiased kth-nearest neighbor (kNN) estimators of mutual information (MI), normalized MI and exclusive information applicable to high-dimensional random variables, and derive under closed-form their gradient flows over finite- and infinite-dimensional transform spaces. Using these results, we devise a novel unsupervised method for the groupwise registration of cardiac perfusion MRI exams. Here, local time-intensity curves are used as a dense set of spatio-temporal features, and statistically matched through variational optimization. Experiments on simulated and real datasets suggest the accuracy of the model for the affine registration of exams with up to 34 frames.
KW - Groupwise registration
KW - cardiac perfusion MRI
KW - high-dimensional information measures
KW - kNN entropy estimators
U2 - 10.1109/ISBI.2011.5872472
DO - 10.1109/ISBI.2011.5872472
M3 - Conference contribution
AN - SCOPUS:80055060005
SN - 9781424441280
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 574
EP - 577
BT - 2011 8th IEEE International Symposium on Biomedical Imaging
PB - IEEE Computer Society
Y2 - 30 March 2011 through 2 April 2011
ER -