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Selection of K-space samples in localized MR spectroscopy of arbitrary volumes of interest

✍ Scribed by Stanley J. Reeves

Publisher
John Wiley and Sons
Year
1995
Tongue
English
Weight
311 KB
Volume
5
Category
Article
ISSN
1053-1807

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✦ Synopsis

Abstract

A number of Image modeling techniques have been proposed to represent magnetic resonance spectro‐scopic images. The goal of these techniques is to reduce the amount of data and thus the time required to reconstruct the image. However, little attention has been given to the choice of k‐space samples. The combination of samples acquired has a great effect on the quality of the reconstructed image. A new method for optimizing the choice of k‐space samples—in which samples from a candidate set are sequentially eliminated in a computationally efficient manner until the desired number remain—is presented and demonstrated by means of simulations.

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