Paper
25 April 2000 Retrospective correction of B0-field-induced geometric distortions in multislice echo planar images: a 3D solution
Roderick W. McColl, Edward A. Coburn
Author Affiliations +
Abstract
A method has been developed to utilize a 3D B0 fieldmap, with a multi-volume-of-interest segmentation map, to quantify and correct geometric distortions in echo-planar images. The purpose is to provide accurate co-registration of anatomical MRI to functional MRI time course sequences. A data structure capable of extracting and reporting the necessary information forms a central part of the solution. Images were obtained from a 1.5 Tesla scanner with an experimental y-gradient insert coil. Two 3D-gradient echo sequences supply the data needed to calculate the B0 map across the volume. Segmentation of the volume into brain/background produces the data needed for the phase unwrapping and volume(s) of interest generation, from which the global B0 variation map is obtained. Subsequent EPI acquisition yields the fMRI time- course information. Tests were carried out on a phantom and a human volunteer engaged in a motor task (finger-tapping). Strong distortions were measured, and subsequently corrected, particularly near the petrous bone/mastoid air cells and in the frontal and maxillary sinuses. Additionally, a strong eddy current resulting from the unshielded y-gradient was detected. The method facilitates geometric distortion correction through an imaging volume, containing multiple regions of interest within a slice, starting from a single starting point.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Roderick W. McColl and Edward A. Coburn "Retrospective correction of B0-field-induced geometric distortions in multislice echo planar images: a 3D solution", Proc. SPIE 3977, Medical Imaging 2000: Physics of Medical Imaging, (25 April 2000); https://doi.org/10.1117/12.384533
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KEYWORDS
Magnetic resonance imaging

Magnetism

Image segmentation

3D image processing

Tissues

Brain mapping

Interfaces

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