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Related Concept Videos

Diffusion01:12

Diffusion

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Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
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Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
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The period of muscle contraction primarily influences the duration of stimulation at the neuromuscular junction (NMJ), the presence of free calcium ions in the sarcoplasm, and the availability of energy or ATP to support contractions.
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In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
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Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
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Towards clinically feasible relaxation-diffusion correlation MRI using MADCO.

Dan Benjamini1, Peter J Basser1

  • 1Quantitative Imaging and Tissue Sciences, NICHD, National Institutes of Health, Bethesda, MD 20892, USA.

Microporous and Mesoporous Materials : the Official Journal of the International Zeolite Association
|September 18, 2018
PubMed
Summary
This summary is machine-generated.

Marginal distributions constrained optimization (MADCO) significantly accelerates multidimensional relaxation-diffusion correlation (REDCO) MRI. This novel approach reduces data requirements by up to 43%, making REDCO feasible for clinical applications.

Keywords:
Fredholm integralInverse problemsMRINMRdiffusometrydistributionmultidimensionalrelaxation-diffusionrelaxometry

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Biophysics
  • Materials Science

Background:

  • Multidimensional relaxation-diffusion correlation (REDCO) NMR provides detailed insights into water distribution within materials.
  • REDCO's clinical application has been limited by extensive data requirements and long scan times.

Purpose of the Study:

  • To evaluate the efficacy of the marginal distributions constrained optimization (MADCO) framework for accelerating REDCO MRI.
  • To assess the impact of correlation distribution complexity on MADCO's accuracy and robustness.

Main Methods:

  • Implemented MADCO, a novel experimental and processing framework utilizing 1D marginal distributions as constraints.
  • Compared MADCO against a conventional method using two T1-D phantoms with varying peak proximity (simple vs. complex spectra).

Main Results:

  • MADCO demonstrated significant data compression, requiring approximately 43% less data for simple spectra and 30% less for complex spectra compared to conventional methods.
  • The study experimentally validated MADCO's performance across different correlation distribution complexities.

Conclusions:

  • MADCO substantially reduces data acquisition time and requirements for REDCO MRI.
  • This acceleration makes REDCO MRI a potentially feasible technique for preclinical and clinical applications.