Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

803
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
803
Constant Volume Calorimetry02:41

Constant Volume Calorimetry

28.8K
Calorimeters are useful to determine the heat released or absorbed by a chemical reaction. Coffee cup calorimeters are designed to operate at constant (atmospheric) pressure and are convenient to measure heat flow (or enthalpy change) accompanying processes that occur in solution at constant pressure. A different type of calorimeter that operates at constant volume, colloquially known as a bomb calorimeter, is used to measure the energy produced by reactions that yield large amounts of heat and...
28.8K
Estimating Population Standard Deviation01:26

Estimating Population Standard Deviation

3.1K
When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...
3.1K
Compartment Models: Single-Compartment Model01:14

Compartment Models: Single-Compartment Model

2.6K
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...
2.6K
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

6.4K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
6.4K
Clausius-Clapeyron Equation02:35

Clausius-Clapeyron Equation

60.1K
The equilibrium between a liquid and its vapor depends on the temperature of the system; a rise in temperature causes a corresponding rise in the vapor pressure of its liquid. The Clausius-Clapeyron equation gives the quantitative relation between a substance’s vapor pressure (P) and its temperature (T); it predicts the rate at which vapor pressure increases per unit increase in temperature.
60.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Brain MR Elastography Metrics Associated with Alterations in Learning and Memory in People with HIV.

Research square·2026
Same author

Functional ultrasound imaging reveals pathway-specific visual system reorganization in young <i>Cln3</i> -/- mice.

bioRxiv : the preprint server for biology·2026
Same author

Monocyte Dll4 Contributes to Systemic Inflammation in People Living With HIV.

Circulation research·2026
Same author

A spatiotemporal dependency-aware lightweight CNN-ViT network for 3D MRF with a balanced acceleration strategy.

Medical image analysis·2026
Same author

Morphological feature remodeling of intracranial arteries in the context of inflammation and HIV-associated cognitive impairment.

medRxiv : the preprint server for health sciences·2026
Same author

HIV-Associated Microstructural Abnormalities in Default Mode, Executive Control, and Salience Networks: Insights from Tensor-Valued Diffusion Encoding.

Bioengineering (Basel, Switzerland)·2026
Same journal

Liver Diffusion Weighted MRI: Effect of Iron Overload on Apparent Diffusion Coefficient.

NMR in biomedicine·2026
Same journal

In Vivo Assessment of Placental Structure and Perfusion in Late-Gestation Pregnancies and Their Association With Fetal Growth.

NMR in biomedicine·2026
Same journal

Reproducibility of Splanchnic Blood Flow Measured Using Phase-Contrast MRI.

NMR in biomedicine·2026
Same journal

Restriction-Weighted Q-Space Trajectory Imaging (ResQ): Toward Mapping Diffusion-Time Effects With Tensor-Valued Diffusion Encoding in Human Prostate Cancer Xenografts.

NMR in biomedicine·2026
Same journal

In Vivo Quantitative Detection of PEGylated Macromolecules by Magnetic Resonance Spectroscopy.

NMR in biomedicine·2026
Same journal

Metabolic Assessment in Human Pluripotent Stem Cell-Derived Cerebral Organoids Using HR-MAS NMR Spectroscopy.

NMR in biomedicine·2026
See all related articles

Related Experiment Video

Updated: Oct 17, 2025

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.7K

Single-shell NODDI using dictionary-learner-estimated isotropic volume fraction.

Abrar Faiyaz1, Marvin Doyley1,2,3, Giovanni Schifitto1,2,4

  • 1Department of Electrical and Computer Engineering, University of Rochester, Rochester, New York.

NMR in Biomedicine
|October 13, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for brain tissue analysis using single-shell diffusion MRI. The dictionary learning prior NODDI (DLpN) accurately estimates neurite density and orientation dispersion, making advanced imaging accessible with less data.

Keywords:
deep learningdiffusion MRIneurite densityorientation dispersionsingle-shell NODDIsparse dictionary learning

More Related Videos

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
10:26

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

2.1K
An Optimized Rhizobox Protocol to Visualize Root Growth and Responsiveness to Localized Nutrients
07:45

An Optimized Rhizobox Protocol to Visualize Root Growth and Responsiveness to Localized Nutrients

Published on: October 22, 2018

16.2K

Related Experiment Videos

Last Updated: Oct 17, 2025

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.7K
Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
10:26

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

2.1K
An Optimized Rhizobox Protocol to Visualize Root Growth and Responsiveness to Localized Nutrients
07:45

An Optimized Rhizobox Protocol to Visualize Root Growth and Responsiveness to Localized Nutrients

Published on: October 22, 2018

16.2K

Area of Science:

  • Neuroimaging
  • Diffusion MRI
  • Computational Neuroscience

Background:

  • Neurite orientation dispersion and density imaging (NODDI) is crucial for characterizing brain tissue microstructure by assessing water signals.
  • Previous studies discouraged single-shell reconstruction for NODDI due to fitting failures, particularly for the neurite density index (NDI).
  • Robust NODDI parameter mapping with single-shell data is highly desirable for broader clinical and research applications.

Purpose of the Study:

  • To investigate the feasibility of creating robust NODDI parameter maps using single-shell diffusion MRI data.
  • To develop and validate a novel dictionary-based learning prior NODDI (DLpN) approach for improved single-shell analysis.
  • To compare the performance of DLpN with traditional multi-shell NODDI methods.

Main Methods:

  • A stochastic sparse dictionary-based network (DictNet) was employed to predict the isotropic volume fraction (fISO) from in vivo and simulated diffusion MRI data.
  • For single-shell data, mean diffusivity and raw T2 signal (S0) were incorporated into the dictionary for fISO estimation.
  • The NODDI framework then utilized the estimated fISO to derive NDI and orientation dispersion index (ODI), with performance validated against multi-shell data.

Main Results:

  • The DLpN approach demonstrated robust estimation of NODDI parameters from single-shell data, comparable to multi-shell NODDI.
  • The protocol with b-value of 2000 s/mm2 showed the best performance for single-shell DLpN, with approximately 5% error in white and gray matter.
  • Dictionary learning significantly improved the accuracy and reliability of NODDI parameter estimation in single-shell scenarios.

Conclusions:

  • DLpN enables accurate NODDI parameter mapping using cost-effective single-shell diffusion MRI protocols.
  • This method overcomes previous limitations of single-shell NODDI, broadening its applicability in neuroscience research and clinical settings.
  • The findings suggest that DLpN can facilitate NODDI evaluation in studies previously limited by the need for multi-shell scanning.