DocumentCode
2805904
Title
Improving the reliability of shape comparison by perturbation
Author
Jiang, Y. ; Edmiston, E. ; Wang, F. ; Blumberg, H.P. ; Papademetris, X. ; Staib, L.H.
Author_Institution
Dept. of Diagnostic Radiol., Yale Univ., New Haven, CT, USA
fYear
2009
fDate
June 28 2009-July 1 2009
Firstpage
686
Lastpage
689
Abstract
Shape comparison is a key scenario in morphometric study, where registration is often involved and found to be unreliable: different registrations can lead to different shape differences. This paper proposes a generic scheme applicable to most registration methods, to reduce this unreliability. It perturbs the registration processes by feeding them with resampled shape groups, and then aggregates the results to yield the final result. This scheme can be simplified for pair-wise registration methods to reduce the computation. Experiments are conducted on both synthetic and biomedical shapes using different registration methods, which demonstrate its effectiveness.
Keywords
image registration; medical image processing; perturbation theory; aggregates; biomedical shapes; morphometric study; pair-wise registration methods; perturbation; reliability; shape comparison; Aggregates; Bioinformatics; Biomedical computing; Biomedical engineering; Jacobian matrices; Machine learning; Psychology; Reliability engineering; Shape measurement; Testing; Shape registration; morphometric study; shape comparison; significance testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location
Boston, MA
ISSN
1945-7928
Print_ISBN
978-1-4244-3931-7
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2009.5193140
Filename
5193140
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