Anuradha Chakravarthy
Faculty Member
Last active: 3/30/2020

Motion correction in diffusion-weighted MRI of the breast at 3T.

Arlinghaus LR, Welch EB, Chakravarthy AB, Xu L, Farley JS, Abramson VG, Grau AM, Kelley MC, Mayer IA, Means-Powell JA, Meszoely IM, Gore JC, Yankeelov TE
J Magn Reson Imaging. 2011 33 (5): 1063-70

PMID: 21509862 · PMCID: PMC3081111 · DOI:10.1002/jmri.22562

PURPOSE - To provide a quantitative assessment of motion and distortion correction of diffusion-weighted images (DWIs) of the breast and to evaluate the effects of registration on the mean apparent diffusion coefficient (mADC).

MATERIALS AND METHODS - Eight datasets from four patients with breast cancer and eight datasets from six healthy controls were acquired on a 3T scanner. A 3D affine registration was used to align each set of images and principal component analysis was used to assess the results. Variance in tumor ADC measurements, tumor mADC values, and voxel-wise tumor mADC values were compared before and after registration for each patient.

RESULTS - Image registration significantly (P = 0.008) improved image alignment for both groups and significantly (P < 0.001) reduced the variance across individual tumor ADC measurements. While misalignment led to potential under- and overestimation of mADC values for individual voxels, average tumor mADC values did not significantly change (P > 0.09) after registration.

CONCLUSION - 3D affine registration improved the alignment of DWIs of the breast and reduced the variance between ADC measurements. Although the reduced variance did not significantly change tumor region-of-interest measures of mADC, it may have a significant impact on voxel-based analyses.

Copyright © 2011 Wiley-Liss, Inc.

MeSH Terms (13)

Adult Algorithms Artifacts Breast Breast Neoplasms Diffusion Magnetic Resonance Imaging Female Humans Image Processing, Computer-Assisted Middle Aged Models, Statistical Motion Principal Component Analysis

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