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Registration‐based autofocusing technique for automatic correction of motion artifacts in time‐series studies of high‐resolution bone MRI
Author(s) -
Zhang Ning,
Magland Jeremy F.,
Song Hee Kwon,
Wehrli Felix W.
Publication year - 2015
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.24646
Subject(s) - reproducibility , computer science , artificial intelligence , image registration , computer vision , nuclear medicine , biomedical engineering , mathematics , image (mathematics) , medicine , statistics
Purpose To develop a registration‐based autofocusing (RAF) motion correction technique for high‐resolution trabecular bone (TB) imaging and to evaluate its performance on in vivo MR data. Materials and Methods The technique combines serial registration with a previously developed motion correction technique — autofocusing — for automatic correction of subject movement degradation of MR images acquired in longitudinal studies. The method was tested on in vivo images of the distal radius to measure improvements in serial reproducibility of parameters in 12 women (ages 50–75 years), and to compare with the navigator echo‐based correction and autofocusing. Furthermore, the technique's ability to optimize the sensitivity to detect simulated bone loss was ascertained. Results The new technique yielded superior reproducibility of image‐derived structural and mechanical parameters. Average coefficient of variation across all parameters improved by 12.5%, 27.0%, 33.5%, and 37.0%, respectively, following correction by navigator echoes, autofocusing, and the RAF technique (without and with correction for rotational motion); average intra‐class correlation coefficient increased by 1.2%, 2.2%, 2.8%, and 3.2%, respectively. Furthermore, simulated bone loss (5%) was well recovered independent of the choice of reference image (4.71% or 4.86% with respect to using either the original or the image subjected to bone loss) in the time series. Conclusion The data suggest that our technique simultaneously corrects for intra‐scan motion corruption while improving inter‐scan registration. Furthermore, the technique is not biased by small changes in bone architecture between time‐points. J. Magn. Reson. Imaging 2015;41:954–963 . © 2014 Wiley Periodicals, Inc .