Improved motion correction using interleaved b=0 volumes and b-vector correction in DTI

Diffusion imaging acquisitions are sensitive to head motion, making the collection of a large number of directions problematic, especially in motion-prone populations, such as children. In this study, we propose splitting long acquisitions into separate, shorter acquisitions and including interleaved b=0 reference volumes to facilitate improved motion and b-vector correction. A novel procedure for preprocessing motion-corrupted data collected in this manner is introduced and compared to the standard eddy correction algorithm. Preliminary evidence, using a series of motion-free and motion-corrupted datasets acquired on one healthy adult, shows an advantage to the proposed technique in fractional anisotropy and principle eigenvector estimation.

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