Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8159952 | Magnetic Resonance Imaging | 2018 | 7 Pages |
Abstract
Through the framework presented here, DKI algorithms can be quantitatively compared via a ground truth data set. Error maps are critical as algorithm performance varies spatially. Bias-plus-variance decomposition provides a more complete picture than MSE alone. In combination with refinements in acquisition in future studies, the accuracy and efficiency of DKI will continue to improve promoting clinical adoption.
Keywords
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Condensed Matter Physics
Authors
Daniel V. Olson, Volkan E. Arpinar, L. Tugan Muftuler,