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

Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
Sampling Methods: Overview01:06

Sampling Methods: Overview

A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of sampling...
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...
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an organic...

You might also read

Related Articles

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

Sort by
Same author

Temporal changes in mortality risk associated with PM<sub>10</sub> across 143 cities in 26 countries: a multicountry, multicity time-series study.

The Lancet. Planetary health·2026
Same author

MAGIC: Marching Cubes Isosurface Uncertainty Visualization for Gaussian Uncertain Data With Spatial Correlation.

IEEE transactions on visualization and computer graphics·2026
Same author

Associations of ambient exposure to benzene, toluene, ethylbenzene, and xylene with daily mortality: a multicountry time-series study in 757 global locations.

Annual review of environment and resources·2025
Same author

Associations of ambient exposure to benzene, toluene, ethylbenzene, and xylene with daily mortality: a multicountry time-series study in 757 global locations.

The Lancet. Planetary health·2025
Same author

Highly accelerated 4D flow MRI with respiratory compensation and cardiac view sharing: a cross-sectional study of flow in the great vessels of pediatric congenital heart disease.

Pediatric radiology·2025
Same author

Climatology of Tehran surface heat Island: a satellite-based spatial analysis.

Scientific reports·2025
Same journal

Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

IEEE transactions on medical imaging·2026
Same journal

Informed-Exploration Reinforcement Learning for Automated Virtual Coronary Intervention Planning.

IEEE transactions on medical imaging·2026
Same journal

4D Reconstruction of Fetal Left Ventricle from Echocardiography via 2.5D Radial Segmentation and Graph-Fourier Reconstruction.

IEEE transactions on medical imaging·2026
Same journal

Generalised Medical Phrase Grounding.

IEEE transactions on medical imaging·2026
Same journal

EndoLRMGS: Combining Large Reconstruction Modelling and Gaussian Splatting for Complete Endoscopic Scene Reconstruction.

IEEE transactions on medical imaging·2026
Same journal

A Neural-Analytical Fusion Scatter Correction Method for Multi-Source CT Using Equivalent High-Order Scatter.

IEEE transactions on medical imaging·2026
See all related articles

Related Experiment Video

Updated: May 25, 2026

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

An efficient interlaced multi-shell sampling scheme for reconstruction of diffusion propagators.

Wenxing Ye1, Sharon Portnoy, Alireza Entezari

  • 1Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL 32611, USA. wye@cise.ufl.edu

IEEE Transactions on Medical Imaging
|January 25, 2012
PubMed
Summary
This summary is machine-generated.

We developed an interlaced multi-shell sampling scheme for diffusion weighted MRI (DW-MRI) to improve diffusion propagator reconstruction. This novel method enhances angular discrimination and accuracy, outperforming standard schemes.

More Related Videos

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging
06:34

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging

Published on: September 2, 2016

Related Experiment Videos

Last Updated: May 25, 2026

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

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging
06:34

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging

Published on: September 2, 2016

Area of Science:

  • Magnetic Resonance Imaging
  • Diffusion MRI
  • Biomedical Imaging

Background:

  • Standard multi-shell sampling in diffusion weighted magnetic resonance imaging (DW-MRI) uses uniform q-space distributions.
  • Existing methods face limitations in angular discrimination and reconstruction accuracy.

Purpose of the Study:

  • To introduce an interlaced multi-shell sampling scheme for improved diffusion propagator reconstruction in DW-MRI.
  • To apply optimal sampling lattices and develop a model-free reconstruction algorithm for enhanced accuracy.

Main Methods:

  • Proposed an interlaced multi-shell sampling scheme using dual polyhedra for increased q-space sampling.
  • Introduced optimal sampling lattices, specifically the body-centered cubic (BCC) lattice, for data acquisition.
  • Developed a model-free reconstruction algorithm utilizing lattice-dependent sinc interpolation.

Main Results:

  • The interlaced scheme provides increased angular discrimination compared to standard methods.
  • The body-centered cubic (BCC) lattice demonstrated increased accuracy within the proposed reconstruction framework.
  • Evaluated performance on simulated data and rat brain DW-MRI data.

Conclusions:

  • The interlaced multi-shell sampling scheme offers a more efficient approach for DW-MRI.
  • Optimal lattice sampling combined with model-free reconstruction significantly improves diffusion propagator reconstruction accuracy.