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Applications of sliding window reconstruction with cartesian sampling for dynamic contrast enhanced MRI
Author(s) -
d'Arcy J. A.,
Collins D. J.,
Rowland I. J.,
Padhani A. R.,
Leach M. O.
Publication year - 2002
Publication title -
nmr in biomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 114
eISSN - 1099-1492
pISSN - 0952-3480
DOI - 10.1002/nbm.755
Subject(s) - interpolation (computer graphics) , computer science , fast fourier transform , scanner , sliding window protocol , sampling (signal processing) , aliasing , window (computing) , iterative reconstruction , contrast (vision) , image resolution , artificial intelligence , computer vision , temporal resolution , fourier transform , algorithm , mathematics , optics , image (mathematics) , undersampling , physics , mathematical analysis , filter (signal processing) , operating system
Applications of dynamic contrast enhanced MR imaging are increasing and require both high spatial resolution and high temporal resolution. Perfusion studies using susceptibility contrast in particular require very high temporal resolution. The sliding window reconstruction is a technique for increasing temporal resolution. It has previously been applied to radial and spiral sampling, but these schemes require extensive correction and interpolation during image reconstruction. Fourier raw data can be reconstructed simply and quickly using the fast fourier transform (FFT). This paper presents a new Fourier‐based sampling scheme and sliding window reconstruction that facilitates fast scanning without needing correction or interpolation. This technique can be used on virtually any MR scanner since it requires no specialized hardware. It is implemented here as a dual gradient echo sequence providing simultaneous T 1 ‐ and T 2 *‐weighted images with a time resolution of 1.1 s. Copyright © 2002 John Wiley & Sons, Ltd.