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An Unbiased Approach of Sampling TEM Sections in Neuroscience

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Published on: April 13, 2019

Pseudo 2D random sampling for compressed sensing MRI.

Haifeng Wang¹, Dong Liang, Leslie Ying

¹Department of Electrical Engineering and Computer Science, University of Wisconsin, Milwaukee, WI 53201, USA. haifeng@uwm.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 8, 2009

Summary

This summary is machine-generated.

This study introduces a novel pseudo 2D random sampling for compressed sensing in magnetic resonance imaging (MRI). The method enhances reconstruction quality, potentially speeding up MRI scans.

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Area of Science:

Medical Imaging
Biophysics
Signal Processing

Background:

Compressed sensing (CS) significantly accelerates Magnetic Resonance Imaging (MRI) acquisition.
Cartesian MRI typically employs regular sampling patterns, limiting acceleration potential.
Existing random sampling methods in MRI have limitations in reconstruction quality.

Purpose of the Study:

To develop and evaluate a novel pseudo 2D random sampling scheme for compressed sensing in Cartesian MRI.
To improve the reconstruction quality and imaging speed of MRI.
To approximate ideal 2D random sampling patterns practically.

Main Methods:

A pulse sequence was designed to randomly undersample both k(x) and k(y) directions during data acquisition.
The proposed scheme switches phase and frequency encoding directions to achieve pseudo 2D random undersampling.
Reconstruction quality was assessed through simulations and experimental MRI data.

Main Results:

The pseudo 2D random sampling scheme achieved reconstruction quality comparable to ideal 2D random sampling.
The proposed method demonstrated superiority over existing 1D random sampling techniques.
Simulations and experiments confirmed the effectiveness of the novel sampling strategy.

Conclusions:

The pseudo 2D random sampling scheme offers a practical approach to enhance compressed sensing MRI.
This method holds potential for accelerating conventional MRI scans without compromising image quality.
The findings suggest a significant advancement in MRI acquisition techniques.