Mr. Ali Gholipour-Baboli Profile

Ali Gholipour-Baboli

at Univ of Texas at Dallas

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Proceedings Article | 26 March 2007 Paper

A field map guided approach to non-rigid registration of brain EPI to structural MRI

Ali Gholipour, Nasser Kehtarnavaz, Richard Briggs, Kaundinya Gopinath

Proceedings Volume 6512, 651205 (2007) https://doi.org/10.1117/12.710129

KEYWORDS: Magnetic resonance imaging, Image registration, Lawrencium, Brain, Computer programming, Brain mapping, In vivo imaging, Optimization (mathematics), Neuroimaging, Magnetism

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It is known that along the phase encoding direction the effect of magnetic field inhomogeneity causes significant spatial distortions in fast functional MRI Echo Planar Imaging (EPI). In this work, our previously developed distortion correction technique via a non-rigid registration of EPI to anatomical MRI is improved by adding information from field maps to achieve a more accurate and efficient registration. Local deformation models are used in regions of distortion artifacts instead of using a global non-rigid transformation. The use of local deformations not only enhances the efficiency of the non-rigid registration by reducing the number of deformation model parameters, but also provides constraints to avoid physically incorrect deformations in undistorted regions. The accuracy and reliability of the non-rigid registration technique is improved by using an additional high-resolution gradient echo EPI scan. In-vivo validation is performed by comparing the similarity of the low-resolution EPI to various structural MRI scans before and after applying the computed deformation models. Visual inspection of the images, as well as Mutual Information (MI) and Normalized Cross Correlation (NCC) comparisons, reveal improvements within the sub-voxel range in the moderately distorted areas but not in the signal loss regions.

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