NDLI: Non-iterative relative bias correction for 3D reconstruction of in utero fetal brain MR imaging

Content Provider	IEEE Xplore Digital Library
Author	Kio Kim Habas, P. Rajagopalan, V. Scott, J. Corbett-Detig, J. Rousseau, F. Glenn, O. Barkovich, J. Studholme, C.
Copyright Year	2010
Description	Author affiliation: LSIIT, UMR 7005 Illkirch, 67412 France (Rousseau, F.) \|\| Department of Radiology and Biomedical Imaging, University of California San Francisco, 94143 USA (Kio Kim; Habas, P.; Rajagopalan, V.; Scott, J.; Corbett-Detig, J.; Glenn, O.; Barkovich, J.; Studholme, C.)
Abstract	The slice intersection motion correction (SIMC) method is a powerful tool to compensate for motion that occurs during in utero acquisition of the multislice magnetic resonance (MR) images of the human fetal brain. The SIMC method makes use of the slice intersection intensity profiles of orthogonally planned slice pairs to simultaneously correct for the relative motion occurring between all the acquired slices. This approach is based on the assumption that the bias field is consistent between slices. However, for some clinical studies where there is a strong bias field combined with significant fetal motion relative to the coils, this assumption is broken and the resulting motion estimate and the reconstruction to a 3D volume can both contain errors. In this work, we propose a method to correct for the relative differences in bias field between all slice pairs. For this, we define the energy function as the mean square difference of the intersection profiles, that is then minimized with respect to the bias field parameters of the slices. A non iterative method which considers the relative bias between each slice simultaneously is used to efficiently remove inconsistencies. The method, when tested on synthetic simulations and actual clinical imaging studies where bias was an issue, brought a significant improvement to the final reconstructed image.
Starting Page	879
Ending Page	882
File Size	1112998
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627876
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three dimensional displays Image reconstruction Imaging Accuracy Brain modeling Humans Coils
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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