BioMed Research International / 2021 / Article / Fig 6

Research Article

A Sparse Volume Reconstruction Method for Fetal Brain MRI Using Adaptive Kernel Regression

Figure 6

Reconstruction results of different data removal ratio by Kainz et al. method (2015) and our proposed method. (a), (c), (e), (g), (i), (k), (m), (o), (q), (s) are the reconstructed results by Kainz et al. method for the sparsely sampled dataset with once every 10% data removal ratio ranging from 0% to 90% respectively. (b), (d), (f), (h), (j), (l), (n), (p), (r), (t) are the reconstructed results by the proposed methodfor the sparsely sampled dataset with once every 10% data removal ratio ranging from 0% to 90%, respectively. The red rectangle points to the obvious difference, which appears as artifacts in the reconstructed image if no steering kernel regression volume updated is used.
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