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Phase Contrast and Differential Interference Contrast Microscopy01:26

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In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
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Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis
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MR phase imaging with bipolar acquisition.

Joseph Dagher1, Kambiz Nael2

  • 1Department of Medical Imaging, University of Arizona, Tucson, AZ, USA.

NMR in Biomedicine
|May 6, 2016
PubMed
Summary
This summary is machine-generated.

We enhanced magnetic resonance (MR) phase imaging (MAGPI) with bipolar gradients for improved phase signal-to-noise ratio (SNR). This advanced method accelerates scans and enables high-resolution imaging in challenging conditions.

Keywords:
MR phasebipolarcoil arrayeddy currentmaximum likelihoodmulti-echonon-flybackphase offset

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Area of Science:

  • Medical Imaging
  • Physics
  • Biomedical Engineering

Background:

  • Magnetic Resonance (MR) phase imaging offers valuable tissue contrast.
  • Previous MAGPI framework showed significant phase signal-to-noise ratio (SNR) gains.
  • Limitations exist in SNR and acquisition speed for current phase imaging techniques.

Purpose of the Study:

  • To improve the performance of the MAGPI framework.
  • To extend MAGPI to handle bipolar readout schemes and an arbitrary number of echoes.
  • To enhance phase SNR and enable faster, higher-resolution phase imaging.

Main Methods:

  • Formulated phase imaging using maximum-likelihood (ML) estimation.
  • Employed an optimized multi-echo gradient echo (MEGE) sequence with bipolar gradients.
  • Developed a voxel-per-voxel tissue-phase estimation algorithm without reference scans, phase unwrapping, or spatial denoising.

Main Results:

  • Bipolar MAGPI demonstrated superior phase SNR gains compared to monopolar MAGPI.
  • Phase SNR convergence was more rapid with an increasing number of echoes in bipolar MAGPI.
  • Bipolar MAGPI enabled phase imaging in low-SNR scenarios and allowed for accelerated (2 min 30 sec) or high-resolution (310 µm) brain imaging.

Conclusions:

  • The proposed bipolar MAGPI framework significantly enhances phase SNR.
  • This advancement accelerates MR acquisition times and enables high-resolution phase imaging.
  • Bipolar MAGPI overcomes limitations of previous methods, particularly in SNR-constrained situations.