## Abstract Patient motion and image distortion induced by eddy currents cause artifacts in maps of diffusion parameters computed from diffusion‐weighted (DW) images. A novel and comprehensive approach to correct for spatial misalignment of DW imaging (DWI) volumes acquired with different strengths
Motion correction in diffusion-weighted MRI of the breast at 3T
✍ Scribed by Lori R. Arlinghaus; E. Brian Welch; A. Bapsi Chakravarthy; Lei Xu; Jaime S. Farley; Vandana G. Abramson; Ana M. Grau; Mark C. Kelley; Ingrid A. Mayer; Julie A. Means-Powell; Ingrid M. Meszoely; John C. Gore; Thomas E. Yankeelov
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 319 KB
- Volume
- 33
- Category
- Article
- ISSN
- 1053-1807
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
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. J. Magn. Reson. Imaging 2011;33:1063–1070. © 2011 Wiley‐Liss, Inc.
📜 SIMILAR VOLUMES
## Abstract ## Purpose: To describe a rapid T2\*‐weighted (T2\*W), three‐dimensional (3D) echo planar imaging (EPI) sequence and its application in mapping local magnetic susceptibility variations in 3 Tesla (T) prostate MRI. To compare the sensitivity of T2\*W EPI with routinely used T1‐weighted
A multiparametric computer-aided diagnosis scheme that combines information from T1-weighted dynamic contrast-enhanced (DCE)-MRI and T2-weighted MRI was investigated using a database of 110 malignant and 86 benign breast lesions. Automatic lesion segmentation was performed, and three categories of l
## Abstract ## Purpose: To evaluate the diagnostic ability of diffusion‐weighted imaging (DWI) and dynamic contrast‐enhanced imaging (DCEI) in combination with T2‐weighted imaging (T2WI) for the detection of prostate cancer using 3 T magnetic resonance imaging (MRI) with a phased‐array body coil.
## Abstract Diffusion‐weighted MRI is a clinically useful technique, but its utility is compromised by high sensitivity to patient motion. Use of radial‐scan data acquisition and projection reconstruction, rather than the conventional Fourier imaging method, can substantially reduce the sensitivity
## Abstract ## Purpose: To quantify B~1~ transmission‐field inhomogeneity in breast imaging of normal volunteers at 3T using 3D T~1~‐weighted spoiled gradient echo and to assess the resulting errors in enhancement ratio (ER) measured in dynamic contrast‐enhanced MRI (DCE‐MRI) studies of the breast