Document Detail


On removing interpolation and resampling artifacts in rigid image registration.
MedLine Citation:
PMID:  23076044     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We show that image registration using conventional interpolation and summation approximations of continuous integrals can generally fail because of resampling artifacts. These artifacts negatively affect the accuracy of registration by producing local optima, altering the gradient, shifting the global optimum, and making rigid registration asymmetric. In this paper, after an extensive literature review, we demonstrate the causes of the artifacts by comparing inclusion and avoidance of resampling analytically. We show the sum-of-squared-differences cost function formulated as an integral to be more accurate compared with its traditional sum form in a simple case of image registration. We then discuss aliasing that occurs in rotation, which is due to the fact that an image represented in the Cartesian grid is sampled with different rates in different directions, and propose the use of oscillatory isotropic interpolation kernels, which allow better recovery of true global optima by overcoming this type of aliasing. Through our experiments on brain, fingerprint, and white noise images, we illustrate the superior performance of the integral registration cost function in both the Cartesian and spherical coordinates, and also validate the introduced radial interpolation kernel by demonstrating the improvement in registration.
Authors:
Iman Aganj; Boon Thye Thomas Yeo; Mert R Sabuncu; Bruce Fischl
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2012-10-11
Journal Detail:
Title:  IEEE transactions on image processing : a publication of the IEEE Signal Processing Society     Volume:  22     ISSN:  1941-0042     ISO Abbreviation:  IEEE Trans Image Process     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-01-16     Completed Date:  2013-06-19     Revised Date:  2013-07-11    
Medline Journal Info:
Nlm Unique ID:  9886191     Medline TA:  IEEE Trans Image Process     Country:  United States    
Other Details:
Languages:  eng     Pagination:  816-27     Citation Subset:  IM    
Affiliation:
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA. iman@nmr.mgh.harvard.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Artifacts*
Brain / anatomy & histology
Dermatoglyphics
Humans
Image Processing, Computer-Assisted / methods*
Magnetic Resonance Imaging
Grant Support
ID/Acronym/Agency:
1K25EB013649-01/EB/NIBIB NIH HHS; 1KL2RR025757-01/RR/NCRR NIH HHS; 1R01NS070963/NS/NINDS NIH HHS; 1R21NS072652-01/NS/NINDS NIH HHS; 1S10RR019307/RR/NCRR NIH HHS; 1S10RR023043/RR/NCRR NIH HHS; 1S10RR023401/RR/NCRR NIH HHS; 5U01-MH093765/MH/NIMH NIH HHS; AG022381/AG/NIA NIH HHS; AT005728-01/AT/NCCAM NIH HHS; K25 EB013649/EB/NIBIB NIH HHS; P41 RR006009/RR/NCRR NIH HHS; P41 RR014075/RR/NCRR NIH HHS; P41-RR14075/RR/NCRR NIH HHS; R01 EB006758/EB/NIBIB NIH HHS; R01 NS052585/NS/NINDS NIH HHS; R01 NS070963/NS/NINDS NIH HHS; R01 RR016594/RR/NCRR NIH HHS; R01EB006758/EB/NIBIB NIH HHS; R01NS052585-01/NS/NINDS NIH HHS; R21 NS072652/NS/NINDS NIH HHS; S10 RR019307/RR/NCRR NIH HHS; S10 RR023401/RR/NCRR NIH HHS; U24RR021382/RR/NCRR NIH HHS; U54 EB005149/EB/NIBIB NIH HHS
Comments/Corrections

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