Literature DB >> 9358447

Measurement of the point spread function in MRI using constant time imaging.

M D Robson1, J C Gore, R T Constable.   

Abstract

The point spread function is a fundamental property of magnetic resonance imaging methods that affects image quality and spatial resolution. The point spread function is difficult to measure precisely in magnetic resonance even with the use of carefully designed phantoms, and it is difficult to calculate this function for complex sequences such as echo-planar imaging. This report describes a method that measures the point spread function with high spatial resolution at each pixel in samples of uniform intensity distribution. This method uses additional phase encoding gradients before the echo-planar acquisition that are constant in length but vary in amplitude. The additional gradients are applied to image the contents within each individual voxel. This method has been used to measure the point spread function for echo-planar imaging to demonstrate the effects of limited k-space sampling and transverse relaxation, as well as the effects of object motion. By considering the displacement of the point spread function, local distortions due to susceptibility and chemical shift effects have been quantified and corrected. The method allows rapid assessment of the point spread function in echo-planar imaging, in vivo, and may also be applied to other rapid imaging sequences that can be modified to include these additional phase encoding gradients.

Mesh:

Year:  1997        PMID: 9358447     DOI: 10.1002/mrm.1910380509

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  40 in total

Review 1.  Principles and methods for automatic and semi-automatic tissue segmentation in MRI data.

Authors:  Lei Wang; Teodora Chitiboi; Hans Meine; Matthias Günther; Horst K Hahn
Journal:  MAGMA       Date:  2016-01-11       Impact factor: 2.310

2.  High resolution single-shot EPI at 7T.

Authors:  Oliver Speck; J Stadler; M Zaitsev
Journal:  MAGMA       Date:  2007-11-01       Impact factor: 2.310

3.  A tractography comparison between turboprop and spin-echo echo-planar diffusion tensor imaging.

Authors:  Minzhi Gui; Huiling Peng; John D Carew; Maciej S Lesniak; Konstantinos Arfanakis
Journal:  Neuroimage       Date:  2008-06-21       Impact factor: 6.556

4.  An improved PSF mapping method for EPI distortion correction in human brain at ultra high field (7T).

Authors:  Jun-Young Chung; Myung-Ho In; Se-Hong Oh; Maxim Zaitsev; Oliver Speck; Zang-Hee Cho
Journal:  MAGMA       Date:  2011-04-21       Impact factor: 2.310

5.  Highly accelerated PSF-mapping for EPI distortion correction with improved fidelity.

Authors:  Myung-Ho In; Oliver Speck
Journal:  MAGMA       Date:  2011-08-04       Impact factor: 2.310

6.  Evaluation of spiral acquisition variants for functional imaging of human superior colliculus at 3T field strength.

Authors:  Vimal Singh; Josef Pfeuffer; Tiejun Zhao; David Ress
Journal:  Magn Reson Med       Date:  2017-07-24       Impact factor: 4.668

7.  TURBINE-MRE: A 3D hybrid radial-Cartesian EPI acquisition for MR elastography.

Authors:  Yi Sui; Arvin Arani; Joshua D Trzasko; Matthew C Murphy; Phillip J Rossman; Kevin J Glaser; Kiaran P McGee; Armando Manduca; Richard L Ehman; Philip A Araoz; John Huston
Journal:  Magn Reson Med       Date:  2020-08-01       Impact factor: 4.668

8.  Improving robustness and reliability of phase-sensitive fMRI analysis using temporal off-resonance alignment of single-echo timeseries (TOAST).

Authors:  Andrew D Hahn; Andrew S Nencka; Daniel B Rowe
Journal:  Neuroimage       Date:  2008-10-18       Impact factor: 6.556

9.  Efficient correction of inhomogeneous static magnetic field-induced distortion in Echo Planar Imaging.

Authors:  Dominic Holland; Joshua M Kuperman; Anders M Dale
Journal:  Neuroimage       Date:  2009-11-26       Impact factor: 6.556

10.  Implementation and application of PSF-based EPI distortion correction to high field animal imaging.

Authors:  Dominik Paul; Maxim Zaitsev; Laura Harsan; Anja Kurutsch; Daniel Nico Splitthoff; Franciszek Hennel; Morwan Choli; Dominik von Elverfeldt
Journal:  Int J Biomed Imaging       Date:  2009-12-31
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