Motion correction in diffusion-weighted MRI of the breast at 3T.
Motion correction in diffusion-weighted MRI of the breast at 3T.
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DOI：
10.1002/jmri.22562
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发表时间：
2011-05
影响因子：
4.4
通讯作者：
Yankeelov, Thomas E.
中科院分区：
文献类型：
--
作者：
Arlinghaus, Lori R.;Welch, E. Brian;Chakravarthy, A. Bapsi;Xu, Lei;Farley, Jaime S.;Abramson, Vandana G.;Grau, Ana M.;Kelley, Mark C.;Mayer, Ingrid A.;Means-Powell, Julie A.;Meszoely, Ingrid M.;Gore, John C.;Yankeelov, Thomas E.
提供乳房扩散加权图像（DWI）运动和失真校正的定量评估，并评价配准对平均表观扩散系数（mADC）的影响。在3T扫描仪上采集了来自4名乳腺癌患者的8个数据集和来自6名健康对照的8个数据集。使用3D仿射配准来对齐每组图像，并使用主成分分析来评估结果。比较每例患者登记前后肿瘤ADC测量值、肿瘤mADC值和逐体素肿瘤mADC值的方差。图像配准显著（p = 0.008）改善了两组的图像对齐，并显著（p < 0.001）降低了个体肿瘤ADC测量值的方差。虽然未对准导致个体体素的mADC值的潜在低估和高估，但平均肿瘤mADC值在配准后没有显著变化（p > 0.09）。3D仿射配准改善了乳房DWI的对齐，并降低了ADC测量值之间的方差。虽然减少的方差并没有显着改变肿瘤区域的mADC的措施，它可能有显着的影响，基于体素的分析。
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). Eight data sets from 4 patients with breast cancer and 8 data sets from 6 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. 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 over-estimation of mADC values for individual voxels, average tumor mADC values did not significantly change (p > 0.09) after registration. 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.
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影响因子：
10.6
作者：
Netsch, T;van Muiswinkel, A
通讯作者：
van Muiswinkel, A
影响因子：
2.5
作者：
Partridge, Savannah C.;Murthy, Revathi S.;Lehman, Constance D.
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Lehman, Constance D.
影响因子：
2.5
作者：
Anderson, AW;Xie, J;Gore, JC
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Gore, JC
影响因子：
3.3
作者：
Haselgrove, JC;Moore, JR
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Moore, JR
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1.3
作者：
Kinoshita, T;Yashiro, N;Narita, M
通讯作者：
Narita, M