Image Registration to Compensate for EPI Distortion in Patients with Brain Tumors: An Evaluation of Tract-Specific Effects.

Image Registration to Compensate for EPI Distortion in Patients with Brain Tumors: An Evaluation of Tract-Specific Effects.
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DOI:
10.1111/jon.12485
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发表时间:
2018-03
期刊:
Journal of neuroimaging : official journal of the American Society of Neuroimaging
影响因子:
--
通讯作者:
O'Donnell LJ
O'Donnell LJ
中科院分区:
其他
文献类型:
--
作者:
Albi A;Meola A;Zhang F;Kahali P;Rigolo L;Tax CMW;Ciris PA;Essayed WI;Unadkat P;Norton I;Rathi Y;Olubiyi O;Golby AJ;O'Donnell LJ

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弥散磁共振成像(dMRI)提供了神经外科患者的白色物质束的术前图,但这些图遭受由磁场不均匀性引起的回波平面成像(EPI)失真。在临床神经外科计划中,这些失真通常不被校正,从而导致纤维跟踪的不确定性。已经提出了多个图像处理流水线用于健康受试者中的基于图像配准的EPI失真校正。在本文中,我们在神经外科患者数据中首次比较了此类管道。在9例脑肿瘤患者的回顾性临床dMRI数据集中测试了5个管道。管道在固定和移动图像的选择以及图像配准的相似性度量方面有所不同。在两个重要的神经外科,弓状束和皮质脊髓束的失真进行了测量。在失真估计的显着差异被发现在整个处理管道。最成功的管道使用dMRI基线和T2加权图像作为失真校正的输入。该管道在图像分辨率和大脑半球之间给出了最一致的失真估计。1-2 mm数量级的平均束失真的定量结果与最近的其他研究一致,支持神经外科计划中失真校正的潜在需求。新的结果包括显着更高的失真估计在肿瘤半球和更大的影响,图像分辨率的选择对肿瘤半球的结果。总体而言,这项研究表明可能的陷阱,并指出,应采取谨慎时,在临床环境中实施EPI失真校正。
Diffusion magnetic resonance imaging (dMRI) provides preoperative maps of neurosurgical patients’ white matter tracts, but these maps suffer from echo-planar imaging (EPI) distortions caused by magnetic field inhomogeneities. In clinical neurosurgical planning, these distortions are generally not corrected and thus contribute to the uncertainty of fiber tracking. Multiple image processing pipelines have been proposed for image-registration-based EPI distortion correction in healthy subjects. In this article, we perform the first comparison of such pipelines in neurosurgical patient data. Five pipelines were tested in a retrospective clinical dMRI dataset of 9 patients with brain tumors. Pipelines differed in the choice of fixed and moving images and the similarity metric for image registration. Distortions were measured in two important tracts for neurosurgery, the arcuate fasciculus and corticospinal tracts. Significant differences in distortion estimates were found across processing pipelines. The most successful pipeline used dMRI baseline and T2-weighted images as inputs for distortion correction. This pipeline gave the most consistent distortion estimates across image resolutions and brain hemispheres. Quantitative results of mean tract distortions on the order of 1–2 mm are in line with other recent studies, supporting the potential need for distortion correction in neurosurgical planning. Novel results include significantly higher distortion estimates in the tumor hemisphere and greater effect of image resolution choice on results in the tumor hemisphere. Overall, this study demonstrates possible pitfalls and indicates that care should be taken when implementing EPI distortion correction in clinical settings.
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