Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Influence of SENSE on image properties in high-resolution single-shot echo-planar DTI
Authors: Järmann, Thomas
Pruessmann, Klaas
Valavanis, A.
Kollias, S.
Boesiger, Peter
DOI: 10.1002/mrm.20769
Published in: Magnetic Resonance in Medicine
Volume(Issue): 55
Issue: 2
Pages: 335
Pages to: 342
Issue Date: 2006
Publisher / Ed. Institution: Wiley
ISSN: 0740-3194
Language: English
Subjects: Arteriovenous malformations; Artifacts; Brain mapping; Computer Simulation; Diffusion Magnetic Resonance Imaging; Humans; Computer-assisted image processing; Echo-planar imaging
Subject (DDC): 616: Internal medicine and diseases
Abstract: Limited spatial resolution is a key obstacle to the study of brain white matter structure with diffusion tensor imaging (DTI). In its frequent implementation with single-excitation spin-echo echo-planar sequences, DTI's ability to resolve small structures is strongly restricted by T2 and T2* decay, B0 inhomogeneity, and limited signal-to-noise ratio (SNR). In this work the influence of sensitivity encoding (SENSE) on diffusion-weighted (DW) image properties is investigated. Computer simulations showed that the PSF becomes narrower with increasing SENSE reduction factors, R, enhancing the intrinsic resolution. After a brief theoretical discussion, we describe the estimation of SNR on a pixel-by-pixel basis as a function of R. The mean image SNR behavior is manifold: SENSE is capable of increasing SNR efficiency by reducing the echo time (TE). Each SNR(R) curve reveals a maximum that depends on the amount of partial Fourier encoding used. The overall best SNR efficiency for an eight-element head coil array and a b-factor of 1000 s/mm2 is achieved at R = 2.1 and partial Fourier encoding of 60%. In vivo tensor maps of volunteers and a patient, with an in-plane resolution of 0.78 x 0.78 mm2, are also presented to demonstrate the practical implementation of the parallel approach.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Appears in Collections:Publikationen School of Engineering

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