Paper
21 March 2016 Motion correction for q-space imaging by multiple interleaved b0 images
Miyu Muto, Weiwei Du, Masayuki Fukuzawa, Koji Sakai, Jun Tazoe, Hiroyasu Ikeno, Kei Yamada
Author Affiliations +
Abstract
Subject motion in a large number of diffusion weighted images (DWIs) for q-space analysis was detected and corrected by using a simple protocol to add multiple interleaved b0 images between each DWI set and at the very end of data acquisition. The realignment matrix was determined from each b0 image with respect to the first b0 image and the matrix was used to realign not only the b0 image itself but also its subsequent DWI set. Degree of improvement in q-space analysis was estimated by calculating total residual sum of squares (RSS) in bi-exponential curve fitting process and also on the fractional anisotropy (FA) of zero displacement (ZDP). The large RSS regions were considerably diminished by realignment at the edges between cerebral gyri and sulci and at the ventricle boundaries in the original images. The large RSS regions around basal ganglia and near the ventricles were kept even by realignment but considerably suppressed with the averaged b0 image for decay-curve estimation. The volume average of RSS was reduced by the maximum of 77% in four volunteers’ results with both the realignment and the averaged b0 images. The FA-ZDP images revealed the improvement by realignment such as the contrast of corpus callosum and suppression of abnormal FA at cerebral sulcus. The number of additional b0 images accounted for 3% of the total number of DWIs, which suggests its feasibility for future clinical application.
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Miyu Muto, Weiwei Du, Masayuki Fukuzawa, Koji Sakai, Jun Tazoe, Hiroyasu Ikeno, and Kei Yamada "Motion correction for q-space imaging by multiple interleaved b0 images", Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 97843F (21 March 2016); https://doi.org/10.1117/12.2216040
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KEYWORDS
Diffusion weighted imaging

Diffusion

Head

Motion analysis

Image processing

Anisotropy

Basal ganglia

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