Distortion correction in fetal EPI using non-rigid registration with a Laplacian constraint

Maria Kuklisova Murgasova; Georgia Lockwood-Estrin; Rita G Nunes; Shaihan Malik; Mary Rutherford; Daniel Rueckert; Joseph Hajnal

doi:10.1109/TMI.2017.2667227

Distortion correction in fetal EPI using non-rigid registration with a Laplacian constraint

Maria Kuklisova Murgasova, Georgia Lockwood-Estrin, Rita G Nunes, Shaihan Malik, Mary Rutherford, Daniel Rueckert, Joseph Hajnal

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Abstract

Geometric distortion induced by the main B0 field disrupts the consistency of fetal EPI data, on which diffusion and functional MRI is based. In this paper we present a novel data-driven method for simultaneous motion and distortion correction of fetal EPI. A motion-corrected and reconstructed T2 weighted ssFSE volume is used as a model of undistorted fetal brain anatomy. Our algorithm interleaves two registration steps: estimation of fetal motion parameters by aligning EPI slices to the model; and deformable registration of EPI slices to slices simulated from the undistorted model to estimate the distortion field. The deformable registration is regularized by a physically inspired Laplacian constraint, to model distortion induced by a source free background B0 field. Our experiments show that distortion correction significantly improves consistency of reconstructed EPI volumes with ssFSE volumes. Additionally, the estimated distortion fields are consistent with fields calculated from acquired field maps, and the Laplacian constraint is essential for estimation of plausible distortion fields. The EPI volumes reconstructed from different scans of the same subject were more consistent when the proposed method was used in comparison to EPI volumes reconstructed from data distortion corrected using a separately acquired B0 field map.

Original language	English
Pages (from-to)	12 - 19
Journal	IEEE Transactions on Medical Imaging
Volume	37
Issue number	1
Early online date	9 Feb 2017
DOIs	https://doi.org/10.1109/TMI.2017.2667227
Publication status	Published - Jan 2018

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10.1109/TMI.2017.2667227

Distortion correction in fetal_MURGASOVA_Publishedonline9February_GREEN AAM
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title = "Distortion correction in fetal EPI using non-rigid registration with a Laplacian constraint",

abstract = "Geometric distortion induced by the main B0 field disrupts the consistency of fetal EPI data, on which diffusion and functional MRI is based. In this paper we present a novel data-driven method for simultaneous motion and distortion correction of fetal EPI. A motion-corrected and reconstructed T2 weighted ssFSE volume is used as a model of undistorted fetal brain anatomy. Our algorithm interleaves two registration steps: estimation of fetal motion parameters by aligning EPI slices to the model; and deformable registration of EPI slices to slices simulated from the undistorted model to estimate the distortion field. The deformable registration is regularized by a physically inspired Laplacian constraint, to model distortion induced by a source free background B0 field. Our experiments show that distortion correction significantly improves consistency of reconstructed EPI volumes with ssFSE volumes. Additionally, the estimated distortion fields are consistent with fields calculated from acquired field maps, and the Laplacian constraint is essential for estimation of plausible distortion fields. The EPI volumes reconstructed from different scans of the same subject were more consistent when the proposed method was used in comparison to EPI volumes reconstructed from data distortion corrected using a separately acquired B0 field map.",

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AU - Kuklisova Murgasova, Maria

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AU - Malik, Shaihan

AU - Rutherford, Mary

AU - Rueckert, Daniel

AU - Hajnal, Joseph

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N2 - Geometric distortion induced by the main B0 field disrupts the consistency of fetal EPI data, on which diffusion and functional MRI is based. In this paper we present a novel data-driven method for simultaneous motion and distortion correction of fetal EPI. A motion-corrected and reconstructed T2 weighted ssFSE volume is used as a model of undistorted fetal brain anatomy. Our algorithm interleaves two registration steps: estimation of fetal motion parameters by aligning EPI slices to the model; and deformable registration of EPI slices to slices simulated from the undistorted model to estimate the distortion field. The deformable registration is regularized by a physically inspired Laplacian constraint, to model distortion induced by a source free background B0 field. Our experiments show that distortion correction significantly improves consistency of reconstructed EPI volumes with ssFSE volumes. Additionally, the estimated distortion fields are consistent with fields calculated from acquired field maps, and the Laplacian constraint is essential for estimation of plausible distortion fields. The EPI volumes reconstructed from different scans of the same subject were more consistent when the proposed method was used in comparison to EPI volumes reconstructed from data distortion corrected using a separately acquired B0 field map.

AB - Geometric distortion induced by the main B0 field disrupts the consistency of fetal EPI data, on which diffusion and functional MRI is based. In this paper we present a novel data-driven method for simultaneous motion and distortion correction of fetal EPI. A motion-corrected and reconstructed T2 weighted ssFSE volume is used as a model of undistorted fetal brain anatomy. Our algorithm interleaves two registration steps: estimation of fetal motion parameters by aligning EPI slices to the model; and deformable registration of EPI slices to slices simulated from the undistorted model to estimate the distortion field. The deformable registration is regularized by a physically inspired Laplacian constraint, to model distortion induced by a source free background B0 field. Our experiments show that distortion correction significantly improves consistency of reconstructed EPI volumes with ssFSE volumes. Additionally, the estimated distortion fields are consistent with fields calculated from acquired field maps, and the Laplacian constraint is essential for estimation of plausible distortion fields. The EPI volumes reconstructed from different scans of the same subject were more consistent when the proposed method was used in comparison to EPI volumes reconstructed from data distortion corrected using a separately acquired B0 field map.

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Distortion correction in fetal EPI using non-rigid registration with a Laplacian constraint

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