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Related Concept Videos

Compartment Models: Two-Compartment Model01:20

Compartment Models: Two-Compartment Model

The two-compartment model divides the body into central and peripheral compartments to account for varying blood perfusion rates among organs and tissues, affecting drug distribution. The central compartment includes blood and highly perfused tissues with rapid drug distribution, while the peripheral compartment contains tissues with slower drug distribution. After a single IV bolus dose, the drug concentration is high in plasma and low in tissues. The drug distribution between compartments...
Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this principle...
Two-Compartment Open Model: Extravascular Administration01:12

Two-Compartment Open Model: Extravascular Administration

The two-compartment model for extravascular administration represents a drug's absorption and distribution process. It features a central compartment, where the drug is first absorbed, and a peripheral compartment, which illustrates the drug's distribution throughout the body. The rate of change in drug concentration in the central compartment is calculated by three exponents: absorption, distribution, and elimination.
The absorption exponent (ka) indicates the speed at which the drug is...
Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time01:02

Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time

When drugs are administered extravascularly, a comprehensive evaluation through noncompartmental analysis becomes imperative. This analytical approach considers various parameters that play a crucial role in understanding the pharmacokinetics of these drugs.
One of the key parameters is the mean transit time (MTT), which refers to the total duration required for drug molecules to transit through the body. MTT is determined by calculating the ratio of the area under the moment curve to the area...
Compartment Models: Single-Compartment Model01:14

Compartment Models: Single-Compartment Model

The single-compartment model serves as a simplified representation of the human body. This model assumes that the body functions as a single, well-mixed open compartment. When a drug is administered intravenously, it enters the body and quickly distributes uniformly. The drug then undergoes biotransformation and elimination, ultimately leaving the body. The volume of this compartment is referred to as the apparent volume of distribution into which the drug can uniformly distribute. In this...
Three-Compartment Open Model01:06

Three-Compartment Open Model

The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...

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Related Experiment Video

Updated: May 31, 2026

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Towards compartment size estimation in vivo based on double wave vector diffusion weighting.

Martin A Koch1, Jürgen Finsterbusch

  • 1Department of Systems Neuroscience/Neuroimage Nord, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. mkoch@uke.uni-hamburg.de

NMR in Biomedicine
|July 15, 2011
PubMed
Summary

Double wave vector diffusion weighting measures in vivo tissue microstructure, estimating pore size in human brain tissue. This advanced MRI technique reveals cell size and shape details previously inaccessible.

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Real-time Iontophoresis with Tetramethylammonium to Quantify Volume Fraction and Tortuosity of Brain Extracellular Space
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Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
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Last Updated: May 31, 2026

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Real-time Iontophoresis with Tetramethylammonium to Quantify Volume Fraction and Tortuosity of Brain Extracellular Space
10:45

Real-time Iontophoresis with Tetramethylammonium to Quantify Volume Fraction and Tortuosity of Brain Extracellular Space

Published on: July 24, 2017

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

Area of Science:

  • Biomedical Engineering
  • Neuroimaging
  • Biophysics

Background:

  • Diffusion MRI provides insights into tissue microstructure.
  • Double wave vector diffusion weighting (DWV-DW) offers unique information on tissue structure, like cell size.
  • Challenges exist in applying DWV-DW in vivo due to small signal differences with clinical MRI.

Purpose of the Study:

  • To apply DWV-DW in vivo to human brain tissue.
  • To measure the signal difference between parallel and antiparallel gradient orientations.
  • To estimate pore size in the corticospinal tracts.

Main Methods:

  • Utilized whole-body gradients for in vivo human brain imaging.
  • Employed double wave vector diffusion weighting with independent gradient directions.
  • Analyzed signal differences at small mixing times between diffusion weightings.

Main Results:

  • Observed signal differences in corticospinal tracts consistent with analytical and numerical predictions.
  • Estimated mean squared radius of gyration of pores at approximately 4 µm².
  • Calculated a volume contribution-weighted mean pore diameter of 13 μm assuming cylindrical pores.

Conclusions:

  • Demonstrated the feasibility of applying DWV-DW in vivo for human brain tissue.
  • Provided quantitative estimates of pore size in white matter tracts.
  • Highlighted the potential of DWV-DW for in vivo microstructural tissue characterization.