DocumentCode :
2719592
Title :
Group-wise motion correction of brain perfusion images
Author :
Zhang, Li ; Chefd´hotel, Christophe ; Bousquet, Guillaume
Author_Institution :
Siemens Corp. Res., Princeton, NJ, USA
fYear :
2010
fDate :
14-17 April 2010
Firstpage :
832
Lastpage :
835
Abstract :
This work presents a group-wise motion correction method to align a series of brain perfusion scans simultaneously. The cost function used in this group-wise registration technique is derived from the total quadratic variation of image intensity. Optimization of the total quadratic variation with respect to rigid registration parameters is a least squares problem and can be efficiently solved by the Levenberg-Marquardt method. The group-wise registration error was quantitatively measured by comparing the registration results with ground truths that were obtained by applying artificial motions to a series of 50 brain perfusion scans. The average registration error is 0.869 ± 0.579 mm, and the maximum error is 3.550 mm. The capture range and robustness was also tested by 11 MR brain perfusion scans with large patient motion. The results demonstrated a high level of accuracy and robustness achieved by the group-wise registration.
Keywords :
biomedical MRI; image motion analysis; image registration; medical image processing; optimisation; Levenberg-Marquardt method; MR brain perfusion scans; artificial motions; group-wise motion correction; group-wise registration technique; image intensity; least squares problem; optimization; patient motion; rigid registration parameters; total quadratic variation; Biomedical imaging; Cost function; Image registration; Least squares methods; Motion analysis; Newton method; Optimization methods; Recursive estimation; Robustness; Testing; Levenberg-Marquardt; MR brain perfusion images; group-wise registration; total quadratic variation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Conference_Location :
Rotterdam
ISSN :
1945-7928
Print_ISBN :
978-1-4244-4125-9
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2010.5490115
Filename :
5490115
Link To Document :
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