Imaging gray matter with concomitant null point imaging from the phase sensitive inversion recovery sequence

Mougin, Olivier and Abdel-Fahim, Rasha and Dineen, Robert and Pitiot, Alain and Evangelou, Nikos and Gowland, Penny A. (2016) Imaging gray matter with concomitant null point imaging from the phase sensitive inversion recovery sequence. Magnetic Resonance in Medicine, 76 (5). pp. 1512-1516. ISSN 1522-2594

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Abstract

Purpose

To present an improved three-dimensional (3D) interleaved phase sensitive inversion recovery (PSIR) sequence including a concomitantly acquired new contrast, null point imaging (NPI), to help detect and classify abnormalities in cortical gray matter.

Methods

The 3D gradient echo PSIR images were acquired at 0.6 mm isotropic resolution on 11 multiple sclerosis (MS) patients and 9 controls subjects using a 7 Tesla (T) MRI scanner, and 2 MS patients at 3T. Cortical abnormalities were delineated on the NPI/PSIR data and later classified according to position in the cortex.

Results

The NPI helped detect cortical lesions within the cortical ribbon with increased, positive contrast compared with the PSIR. It also provided improved intrinsic delineation of the ribbon, increasing confidence in classifying the lesions' locations.

Conclusion

The proposed PSIR facilitates the classification of cortical lesions by providing two T1-weighted 3D datasets with isotropic resolution, including the NPI showing cortical lesions with clear delineation of the gray/white matter boundary and minimal partial volume effects. Magn Reson Med 76:1512–1516, 2016. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Item Type: Article
Keywords: magnetic resonance imaging; multiple sclerosis; cerebral cortex; imaging; gray matter
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Physics and Astronomy
University of Nottingham, UK > Faculty of Science > School of Psychology
University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Units > Radiology and Imaging Sciences
Identification Number: https://doi.org/10.1002/mrm.26061
Depositing User: Eprints, Support
Date Deposited: 05 Jan 2017 09:55
Last Modified: 06 Jan 2017 21:58
URI: http://eprints.nottingham.ac.uk/id/eprint/39591

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