DocumentCode
1818489
Title
Automatic estimation of midsagittal plane and AC-PC alignment on nonrigid registration
Author
Anbazhagan, Prasanna ; Carass, Aaron ; Bazin, Pierre-Louis ; Prince, Jerry L.
Author_Institution
Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD
fYear
2006
fDate
6-9 April 2006
Firstpage
828
Lastpage
831
Abstract
Identifying the anterior and posterior commissures as well as the midsagittal plane in magnetic resonance brain images is a critical first step in the normalization process underlying group studies. We present a fully automatic algorithm that locates these structures with high accuracy. Estimates of all three landmarks are achieved first with a nonrigid registration algorithm and further optimization is used to refine these estimates. Extensive validation experiments involving both simulated and real data sets demonstrate the accuracy and robustness of the proposed method
Keywords
biomedical MRI; brain; image registration; medical image processing; optimisation; AC-PC alignment; anterior commissures; automatic midsagittal plane estimation; fully automatic algorithm; magnetic resonance brain images; nonrigid image registration; normalization; optimization; posterior commissures; Biomedical imaging; Brain modeling; Image analysis; Laboratories; Magnetic resonance; Neuroscience; Pathology; Radiology; Robustness; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
Conference_Location
Arlington, VA
Print_ISBN
0-7803-9576-X
Type
conf
DOI
10.1109/ISBI.2006.1625046
Filename
1625046
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