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图像配准对从腹部自由呼吸扩散磁共振图像计算得到的表观扩散系数图像的影响。

Influence of image registration on apparent diffusion coefficient images computed from free-breathing diffusion MR images of the abdomen.

作者信息

Guyader Jean-Marie, Bernardin Livia, Douglas Naomi H M, Poot Dirk H J, Niessen Wiro J, Klein Stefan

机构信息

Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology, Erasmus MC - University Medical Center Rotterdam, the Netherlands.

Institute of Cancer Research and Royal Marsden Hospital, Sutton, United Kingdom.

出版信息

J Magn Reson Imaging. 2015 Aug;42(2):315-30. doi: 10.1002/jmri.24792. Epub 2014 Nov 19.

Abstract

BACKGROUND

To evaluate the influence of image registration on apparent diffusion coefficient (ADC) images obtained from abdominal free-breathing diffusion-weighted MR images (DW-MRIs).

METHODS

A comprehensive pipeline based on automatic three-dimensional nonrigid image registrations is developed to compensate for misalignments in DW-MRI datasets obtained from five healthy subjects scanned twice. Motion is corrected both within each image and between images in a time series. ADC distributions are compared with and without registration in two abdominal volumes of interest (VOIs). The effects of interpolations and Gaussian blurring as alternative strategies to reduce motion artifacts are also investigated.

RESULTS

Among the four considered scenarios (no processing, interpolation, blurring and registration), registration yields the best alignment scores. Median ADCs vary according to the chosen scenario: for the considered datasets, ADCs obtained without processing are 30% higher than with registration. Registration improves voxelwise reproducibility at least by a factor of 2 and decreases uncertainty (Fréchet-Cramér-Rao lower bound). Registration provides similar improvements in reproducibility and uncertainty as acquiring four times more data.

CONCLUSION

Patient motion during image acquisition leads to misaligned DW-MRIs and inaccurate ADCs, which can be addressed using automatic registration.

摘要

背景

评估图像配准对从腹部自由呼吸扩散加权磁共振图像(DW-MRI)获得的表观扩散系数(ADC)图像的影响。

方法

开发了一种基于自动三维非刚性图像配准的综合流程,以补偿从五名健康受试者获取的两次扫描的DW-MRI数据集中的错位。在每个图像内以及时间序列中的图像之间校正运动。在两个腹部感兴趣体积(VOI)中比较有无配准情况下的ADC分布。还研究了插值和高斯模糊作为减少运动伪影的替代策略的效果。

结果

在所考虑的四种情况(不处理、插值、模糊和配准)中,配准产生了最佳的对齐分数。中位数ADC根据所选情况而变化:对于所考虑的数据集,未处理时获得的ADC比配准后高30%。配准至少将体素级再现性提高了2倍,并降低了不确定性(弗雷歇-克莱默-拉奥下界)。配准在再现性和不确定性方面提供了与获取四倍多数据相似的改进。

结论

图像采集期间的患者运动导致DW-MRI未对齐和ADC不准确,这可以通过自动配准来解决。

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