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

Computed Tomography01:10

Computed Tomography

6.5K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
6.5K
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

701
Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the...
701
Accelerating Fluids01:17

Accelerating Fluids

1.5K
When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
1.5K
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

393
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...
393
Acceleration Vectors01:30

Acceleration Vectors

12.7K
In everyday conversation, accelerating means speeding up. Acceleration is a vector in the same direction as the change in velocity, Δv, therefore the greater the acceleration, the greater the change in velocity over a given time. Since velocity is a vector, it can change in magnitude, direction, or both. Thus acceleration is a change in speed or direction, or both. For example, if a runner traveling at 10 km/h due east slows to a stop, reverses direction, and continues their run at 10 km/h...
12.7K
Curvilinear Motion: Polar Coordinates01:27

Curvilinear Motion: Polar Coordinates

496
In polar coordinates, the motion of a particle follows a curvilinear path. The radial coordinate symbolized as 'r,' extends outward from a fixed origin to the particle, while the angular coordinate, 'θ,' measured in radians, represents the counterclockwise angle between a fixed reference line and the radial line connecting the origin to the particle.
The particle's location is described using a unit vector along the radial direction. Deriving the particle's position...
496

You might also read

Related Articles

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

Sort by
Same author

Enhanced motion compensation for free-breathing dynamic contrast-enhanced MRI with GROG-facilitated bunch phase encoding and Golden angle radial sampling.

Magnetic resonance imaging·2026
Same author

Ten vs. 14 Days of Vonoprazan-Based Therapy for Helicobacter pylori: Systematic Review and Meta-Analysis of Randomized Trials.

Journal of gastroenterology and hepatology·2026
Same author

Endoscopic submucosal dissection for locally recurrent gastric neoplasia following endoscopic resection: a systematic review and meta-analysis.

Gastrointestinal endoscopy·2026
Same author

SC-GROG followed by L+S reconstruction with multiple sparsity constraints for accelerated Golden-angle-radial DCE-MRI.

PloS one·2025
Same author

Cardiac MR image reconstruction using cascaded hybrid dual domain deep learning framework.

PloS one·2025
Same author

Retraction Note: Assessing the impact of human capital, renewable energy, population growth, economic growth, and climate change policies on achieving the sustainable development goals.

Environmental science and pollution research international·2024
Same journal

Localization-driven exchange contrast in diffusion exchange spectroscopy.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2026
Same journal

4.5 Tesla superconducting miniature magnet in liquid nitrogen.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2026
Same journal

Folding and unfolding dynamics of a DNA aptamer studied by heteronuclear <sup>1</sup>H-<sup>13</sup>C correlation zz-exchange spectroscopy.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2026
Same journal

Multi-spin control from one-spin pulses.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2026
Same journal

Altering MRI rotating frame relaxations by changing the truncation level of Hyperbolic Secant pulse.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2026
Same journal

Effects of proton exchange on the lifetimes of long-lived states in aliphatic chains.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2026
See all related articles

Related Experiment Video

Updated: Oct 1, 2025

Computational Reconstruction of Pancreatic Islets as a Tool for Structural and Functional Analysis
07:58

Computational Reconstruction of Pancreatic Islets as a Tool for Structural and Functional Analysis

Published on: March 9, 2022

1.7K

GPU accelerated Cartesian GRAPPA reconstruction using CUDA.

Omair Inam1, Mahmood Qureshi1, Zoia Laraib1

  • 1Medical Image Processing Research Group (MIPRG), Department of Electrical & Computer Engineering, COMSATS University Islamabad, Pakistan.

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|March 8, 2022
PubMed
Summary
This summary is machine-generated.

A new GPU-accelerated GRAPPA method significantly speeds up MRI reconstruction. This parallel processing approach reduces scan times without sacrificing image quality, making advanced MRI more accessible.

Keywords:
CUDAComputational complexityGRAPPAGraphic processing unitsParallel MRI

More Related Videos

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

450
Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection
06:57

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection

Published on: September 22, 2023

1.2K

Related Experiment Videos

Last Updated: Oct 1, 2025

Computational Reconstruction of Pancreatic Islets as a Tool for Structural and Functional Analysis
07:58

Computational Reconstruction of Pancreatic Islets as a Tool for Structural and Functional Analysis

Published on: March 9, 2022

1.7K
Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

450
Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection
06:57

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection

Published on: September 22, 2023

1.2K

Area of Science:

  • Medical Imaging
  • Computational Imaging
  • Magnetic Resonance Imaging

Background:

  • Generalized Auto-calibrating Partially Parallel Acquisition (GRAPPA) is a parallel MRI (pMRI) technique that accelerates scans by acquiring undersampled data.
  • While GRAPPA reduces MRI scan time, its reconstruction time increases exponentially with the number of receiver coils, challenging conventional CPU processing.
  • Fast data processing is crucial for MR image reconstruction, but CPU platforms struggle with the computational demands of GRAPPA.

Purpose of the Study:

  • To develop and evaluate a novel GPU-based implementation of GRAPPA for accelerated MR image reconstruction.
  • To exploit the inherent parallelism in GRAPPA's calibration and synthesis phases for high-speed processing.
  • To assess the performance of the GPU-accelerated GRAPPA across various configurations and compare it with CPU-based methods.

Main Methods:

  • Implemented GRAPPA reconstruction using custom CUDA kernels on Graphics Processing Units (GPUs).
  • Leveraged GPU parallelism for both the calibration (weight estimation) and synthesis (interpolation) phases of GRAPPA.
  • Conducted in-vivo experiments with 8, 12, and 30 receiver coils to compare performance against CPU and existing GPU implementations.

Main Results:

  • Achieved significant speed-up gains: up to ~47.8x over single-thread CPU, ~17x over 8-thread CPU, and ~3.8x over Gadgetron (GPU-based GRAPPA).
  • Demonstrated high-speed MR image reconstruction across diverse GRAPPA settings (coil numbers, ACS, kernel sizes, acceleration factors).
  • Maintained reconstruction accuracy comparable to conventional methods.

Conclusions:

  • The proposed GPU-based GRAPPA framework effectively reduces reconstruction time by utilizing GPU acceleration for calibration and synthesis.
  • This parallel processing approach provides a viable solution for high-speed MR image reconstruction.
  • The method ensures high-quality reconstructed images while significantly improving processing efficiency.