期刊
JOURNAL OF MAGNETIC RESONANCE IMAGING
卷 33, 期 5, 页码 1063-1070出版社
WILEY
DOI: 10.1002/jmri.22562
关键词
breast cancer; preoperative chemotherapy; diffusion; image registration
资金
- National Cancer Institute [NCI 1R01CA129961, NIBIB 1K25 EB005936, 1U01 CA142565, NIH P30 CA68485]
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 aline 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.
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