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Image Registration to Compensate for EPI Distortion in Patients with Brain Tumors: An Evaluation of Tract‐Specific Effects
Author(s) -
Albi Angela,
Meola Antonio,
Zhang Fan,
Kahali Pegah,
Rigolo Laura,
Tax Chantal M.W.,
Ciris Pelin Aksit,
Essayed Walid I.,
Unadkat Prashin,
Norton Isaiah,
Rathi Yogesh,
Olubiyi Olutayo,
Golby Alexandra J.,
O'Donnell Lauren J.
Publication year - 2018
Publication title -
journal of neuroimaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.822
H-Index - 64
eISSN - 1552-6569
pISSN - 1051-2284
DOI - 10.1111/jon.12485
Subject(s) - distortion (music) , medicine , artificial intelligence , image registration , pipeline (software) , magnetic resonance imaging , computer vision , radiology , nuclear medicine , computer science , image (mathematics) , amplifier , computer network , bandwidth (computing) , programming language
BACKGROUND AND PURPOSE 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. METHODS 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. RESULTS 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. CONCLUSIONS 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.