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High-resolution fast spin echo imaging of the human brain at 4.7 T: Implementation and sequence characteristics

Thomas, DL; De Vita, E; Roberts, S; Turner, R; Yousry, TA; Ordidge, RJ; (2004) High-resolution fast spin echo imaging of the human brain at 4.7 T: Implementation and sequence characteristics. MAGN RESON MED , 51 (6) 1254 - 1264. 10.1002/mrm.20106.

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Abstract

In this work, a number of important issues associated with fast spin echo (FSE) imaging of the human brain at 4.7 T are addressed. It is shown that FSE enables the acquisition of images with high resolution and good tissue contrast throughout the brain at high field strength. By employing an echo spacing (ES) of 22 ms, one can use large flip angle refocusing pulses (162degrees) and a low acquisition bandwidth (50 kHz) to maximize the signal-to-noise ratio (SNR). A new method of phase encode (PE) ordering (called "feathering") designed to reduce image artifacts is described, and the contributions of RF (B-1) inhomogeneity, different echo coherence pathways, and magnetization transfer (MT) to FSE signal intensity and contrast are investigated. B-1 inhomogeneity is measured and its effect is shown to be relatively minor for high-field FSE, due to the self-compensating characteristics of the sequence. Thirty-four slice data sets (slice thickness = 2 mm; in-plane resolution = 0.469 mm; acquisition time = 11 min 20 s) from normal volunteers are presented, which allow visualization of brain anatomy in fine detail. This study demonstrates that high-field FSE produces images of the human brain with high spatial resolution, SNR, and tissue contrast, within currently prescribed power deposition guidelines. (C) 2004 Wiley-Liss, Inc.

Type:Article
Title:High-resolution fast spin echo imaging of the human brain at 4.7 T: Implementation and sequence characteristics
DOI:10.1002/mrm.20106
Keywords:high-field FSE, feathering, T-2-weighted MRI, structural MRI, high-field MR, REFOCUSING FLIP ANGLES, RARE-SEQUENCES, POWER DEPOSITION, NOISE RATIO, CONTRAST, MR, OPTIMIZATION, EXCITATIONS, DEPENDENCE, 2D
UCL classification:UCL > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Neurology > Brain Repair and Rehabilitation
UCL > School of BEAMS > Faculty of Engineering Science > Medical Physics and Bioengineering

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