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Magnetic Resonance in Medicine
Article . 2015 . Peer-reviewed
License: Wiley Online Library User Agreement
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Ramped hybrid encoding for improved ultrashort echo time imaging

Authors: Hyungseok, Jang; Curtis N, Wiens; Alan B, McMillan;

Ramped hybrid encoding for improved ultrashort echo time imaging

Abstract

PurposeWe propose a new acquisition to minimize the per‐excitation encoding duration and improve the imaging capability for short T2* species.MethodsIn the proposed ramped hybrid encoding (RHE) technique, gradients are applied before the radiofrequency (RF) pulse as in pointwise encoding time reduction with radial acquisition (PETRA) and zero echo time (ZTE) imaging. However, in RHE, gradients are rapidly ramped after RF excitation to the maximum amplitude to minimize encoding duration. To acquire central k‐space data not measured during RF deadtime, RHE uses a hybrid encoding scheme similar to PETRA. A new gradient calibration method based on single‐point imaging was developed to estimate the k‐space trajectory and enable robust and high quality reconstruction.ResultsRHE enables a shorter per‐excitation encoding time and provides the highest spatial resolution among ultrashort T2* imaging methods. In phantom and in vivo experiments, RHE exhibited robust imaging with negligible chemical shift or blurriness caused by T2* decay and unwanted slice selection.ConclusionRHE allows the shortest per‐excitation encoding time for ultrashort T2* imaging, which alleviates the impact of fast T2* decay occurring during encoding, and enables improved spatial resolution. Magn Reson Med 76:814–825, 2016. © 2015 Wiley Periodicals, Inc.

Keywords

Phantoms, Imaging, Image Interpretation, Computer-Assisted, Brain, Humans, Reproducibility of Results, Signal Processing, Computer-Assisted, Image Enhancement, Magnetic Resonance Imaging, Sensitivity and Specificity, Algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Top 10%
bronze