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Related Concept Videos

Cluster Sampling Method01:20

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Sampling Methods: Overview01:06

Sampling Methods: Overview

A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of sampling...

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Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers
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Zigzag sampling for improved parallel imaging.

Felix A Breuer1, Hisamoto Moriguchi, Nicole Seiberlich

  • 1Research Center Magnetic-Resonance-Bavaria, Würzburg, Germany. breuer@mr-bavaria.de

Magnetic Resonance in Medicine
|July 31, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a novel parallel MRI acquisition strategy using oscillating phase-encoding gradients. This method enhances image reconstruction by leveraging sensitivity variations in the readout direction for improved parallel imaging performance.

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Imaging Physics

Background:

  • Conventional parallel MRI relies on receiver coil sensitivity variations in the phase-encoding direction.
  • This limits parallel imaging reconstruction performance based on coil geometry.

Purpose of the Study:

  • To develop a new MRI acquisition strategy that utilizes sensitivity variations in the readout direction.
  • To improve parallel imaging reconstruction by exploiting these additional variations.

Main Methods:

  • Implementation of rapidly oscillating phase-encoding gradients during readout.
  • Utilizing zigzag-shaped gradient trajectories for data acquisition.
  • Demonstration of the method in vivo for 2D and 3D imaging.

Main Results:

  • The proposed zigzag sampling modifies aliasing patterns.
  • Successfully leverages sensitivity variations in the readout direction.
  • Demonstrates improved parallel imaging reconstruction performance compared to conventional methods.

Conclusions:

  • The novel acquisition strategy enhances parallel MRI by utilizing readout direction sensitivity.
  • Zigzag gradient trajectories offer a viable approach for improved parallel imaging.
  • This technique offers a direct route to better reconstruction performance in MRI.