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

Bandpass Sampling01:17

Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
Upsampling01:22

Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
Sampling Theorem01:15

Sampling Theorem

In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.

You might also read

Related Articles

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

Sort by
Same author

Application of voxel-wise SAR efficiency to evaluate suitability of novel materials in MRI with parallel transmit.

Physics in medicine and biology·2026
Same author

Robust single-scan ultraselective NMR.

Chemical communications (Cambridge, England)·2026
Same author

Ultra-Wideline 2D Correlations Among Low-γ Species in Solid-State NMR via the Progressive Saturation of a Common Proton Reservoir.

Chemistry (Weinheim an der Bergstrasse, Germany)·2026
Same author

On the effects of hyperpolarized water-based dissolution on the solute and solvent <sup>1</sup>H NMR spectra of small molecules.

Physical chemistry chemical physics : PCCP·2026
Same author

Fast and flow-compatible pseudo-3D diffusion NMR.

Chemical communications (Cambridge, England)·2026
Same author

14.1 T Liquid-State <sup>19</sup>F Overhauser Dynamic Nuclear Polarization in an Analytical Organic Setting.

Journal of the American Chemical Society·2026
Same journal

Feasibility and SNR Performance of Hyperpolarized <sup>129</sup>Xe Gas Exchange Imaging Using a Balanced SSFP Sequence.

Magnetic resonance in medicine·2026
Same journal

Multi-Contrast Human Brain CEST MRI at 11.7 T: First In Vivo Demonstration.

Magnetic resonance in medicine·2026
Same journal

Suppression of Oscillation and Ghosting in RF-Spoiled Gradient-Echo-Based Dynamic Imaging.

Magnetic resonance in medicine·2026
Same journal

A Simple, Dynamic Geometric Phantom for MRI and CT Reconstruction Pipelines: Beyond Shepp-Logan.

Magnetic resonance in medicine·2026
Same journal

7T 3D-EPI PCASL With High SNR Efficiency and Robustness to Through-Plane B<sub>0</sub> Field Gradients.

Magnetic resonance in medicine·2026
Same journal

A Comparison of Tissue Property Values Estimated Using Conventional Cardiac MRF and MT-Cardiac MRF.

Magnetic resonance in medicine·2026
See all related articles

Related Experiment Video

Updated: May 13, 2026

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Simultaneous spatial and spectral selectivity by spatiotemporal encoding.

Jean-Nicolas Dumez1, Rita Schmidt, Lucio Frydman

  • 1Department of Chemical Physics, Weizmann Institute of Science, Rehovot, 76100, Israel.

Magnetic Resonance in Medicine
|March 16, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for simultaneous spatial and spectral selectivity in MRI, offering comparable quality to conventional techniques with simpler implementation. The new approach enables high-quality, shift-selective multi-slice imaging and simultaneous water-fat imaging.

More Related Videos

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
10:35

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

Published on: June 3, 2013

Related Experiment Videos

Last Updated: May 13, 2026

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
10:35

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

Published on: June 3, 2013

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Biomedical Engineering

Background:

  • Conventional 2D spectral-spatial imaging requires complex pulse sequences and fast-oscillating gradients.
  • Spatiotemporal encoding principles enable chemical-shift-dependent echoes and dephasing of off-resonant species.
  • The proposed method simplifies implementation while maintaining image quality.

Purpose of the Study:

  • To present a novel method for simultaneous spatial and spectral selectivity in MRI.
  • To achieve image quality comparable to conventional 2D spectral-spatial techniques.
  • To reduce the implementation complexity of spectral-spatial MRI.

Main Methods:

  • Design of quadratic-phase spectrally and spatially selective (SLR) excitation and refocusing waveforms based on chirp pulse arguments.
  • Application of these waveforms on a 7 T microimaging system for phantom studies.
  • Acquisition of multi-slice echo-planar and spin-echo images in human volunteers using a 3 T scanner.

Main Results:

  • Successful acquisition of excellent shift-selective multi-slice images in both phantoms and human volunteers.
  • Demonstration of simultaneous water and fat imaging in a single, interleaved acquisition mode.
  • Validation of the method's effectiveness on both 7 T and 3 T MRI platforms.

Conclusions:

  • A new, high-quality method for achieving chemical shift selectivity with precise spatial profiling has been developed.
  • The technique eliminates the need for fast oscillating gradients and precisely timed radiofrequency pulses.
  • This advancement simplifies spectral-spatial MRI acquisition and reconstruction.