## Abstract ## Purpose To develop a method that automatically corrects ghosting artifacts due to echo‐misalignment in interleaved gradient‐echo echo‐planar imaging (EPI) in arbitrary oblique or double‐oblique scan planes. ## Materials and Methods An automatic ghosting correction technique was de
Reduction of artifacts by optimization of the sensitivity map in sensitivity-encoded spectroscopic imaging
✍ Scribed by Xiaoli Zhao; Robert W. Prost; Zhu Li; Shi-Jiang Li
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 173 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0740-3194
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Sensitivity‐encoded spectroscopic imaging (SENSE‐SI) reduces scanning time by using multiple coils for parallel signal acquisition. Significant artifacts could be induced by SENSE‐SI, mainly due to the low‐resolution nature of spectroscopic imaging. The present study introduces a novel method to reduce the artifacts. High‐resolution sensitivity maps are used in low‐resolution SENSE reconstruction. An intermediate unaliased image is obtained after SENSE reconstruction. Based on the intermediate image, the sensitivity maps are optimized and then the SENSE reconstruction is performed again. The final unaliased image has significantly reduced artifacts. Magn Reson Med 53:30–34, 2005. © 2004 Wiley‐Liss, Inc.
📜 SIMILAR VOLUMES
## Abstract Introduction of a Gaussian weighting function into the phase encoding of the spin‐echo imaging method via variable tip angle excitation, with concomitant optimization of the recycle delay, is shown to increase the sensitivity of __T__~2~‐weighted imaging by up to 40%. In addition, the G
Gadolinium-enhanced dynamic magnetic resonance (MR) imaging is playing an increasingly important diagnostic role in patients with breast cancer. Because of the multi-focal nature of the disease, it is mandatory to cover all of both breasts, not only in the initial scan, but also at subsequent follow
## Abstract A new strategy to yield information from the maximum number of voxels, each at the optimum signal‐to‐noise ratio (SNR) per unit time, in MR spectroscopic imaging (MRSI) is introduced. In the past, maximum acquisition duty‐cycle was obtained by multiplexing in time several single slices