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

Parallel Processing01:20

Parallel Processing

566
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...
566
Parallel-axis Theorem01:06

Parallel-axis Theorem

8.0K
The parallel-axis theorem provides a convenient and quick method of finding the moment of inertia of an object about an axis parallel to the axis passing through its center of mass. Consider a thin rod as an example. There is a striking similarity between the process of finding the moment of inertia of a thin rod about an axis through its middle, where the center of mass lies, and about an axis through its end using the conventional method. In the conventional method, the concept of linear mass...
8.0K
Parallel-Axis Theorem for an Area01:12

Parallel-Axis Theorem for an Area

2.8K
The moment of inertia is a fundamental concept in mechanical engineering that plays a significant role in designing rotationally symmetric objects such as flywheels, gears, and other mechanical systems. In this context, we will discuss the moment of inertia of a flywheel rotating about its centroidal axis and how it relates to the moment of inertia about an axis parallel to it.
For a flywheel approximated as a solid disc, consider an infinitesimal differential element with an arbitrary distance...
2.8K
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

295
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
295
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

682
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
682
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

316
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
316

You might also read

Related Articles

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

Sort by
Same author

Structurally-Informed 3D Gaussian Splatting for Limited-Angle CBCT.

IEEE transactions on medical imaging·2026
Same author

X2Shape: CT-free 3D multi-organ reconstruction with biplanar X-rays.

Medical image analysis·2026
Same author

Wave-Reg: full-stage wavelet-guided image registration framework with cross-scale correction.

Physics in medicine and biology·2026
Same author

Generalization of Left Ventricular Segmentation Models to LVNC Patients: A Comparative Study.

Journal of imaging informatics in medicine·2026
Same author

Foundation models for X-ray interpretation: a narrative review of current techniques and future perspectives in diagnostic imaging.

Quantitative imaging in medicine and surgery·2026
Same author

C2FAU-Net: A Deep Learning Approach with Multi-scale Strategy for Automated Delineation of Organs-at-risk in Cervical Cancer High-dose Rate Brachytherapy.

Journal of medical physics·2026
Same journal

Experimental study on deantigenization and trabecular structure effects on bovine cancellous bone compression.

Bio-medical materials and engineering·2026
Same journal

Effects of dentin extract without demineralization on migration and angiogenic potential of human umbilical vein endothelial cells.

Bio-medical materials and engineering·2026
Same journal

Measurement of thermal expansion coefficient of melanin for photoacoustic technology.

Bio-medical materials and engineering·2026
Same journal

Development of chitosan-selenium nanoparticle modified brushite cement: A potential strategy for improved clinical performance in bone regeneration.

Bio-medical materials and engineering·2026
Same journal

Electrostatic layer-by-layer assembly for fabricating morphology-controlled hydroxyapatite/zirconia composite with enhanced osteogenic performance.

Bio-medical materials and engineering·2026
Same journal

The antitumor activity of bismuth lipophilic nanoparticles (BisBAL NPs) on human glioblastoma is higher than temozolomide.

Bio-medical materials and engineering·2026
See all related articles

Related Experiment Video

Updated: Jan 2, 2026

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
05:49

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

1.2K

A block-wise approximate parallel implementation for ART algorithm on CUDA-enabled GPU.

Zhongyin Fan1,2, Yaoqin Xie1

  • 1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China.

Bio-Medical Materials and Engineering
|September 26, 2015
PubMed
Summary
This summary is machine-generated.

We developed a faster method for reconstructing 3D images using computed tomography (CT) by parallelizing the ART algorithm on GPUs. This makes real-time 3D imaging possible for clinical applications.

Keywords:
ARTCTGPUapproximate parallelblock-wise

More Related Videos

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays
05:04

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays

Published on: June 13, 2023

2.2K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.0K

Related Experiment Videos

Last Updated: Jan 2, 2026

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
05:49

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

1.2K
Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays
05:04

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays

Published on: June 13, 2023

2.2K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.0K

Area of Science:

  • Medical Imaging
  • Computer Science
  • Algorithm Development

Background:

  • Computed tomography (CT) is crucial for volumetric anatomical imaging in clinical diagnosis and treatment.
  • The Algebraic Reconstruction Technique (ART) algorithm is vital for image reconstruction but is computationally intensive, especially with under-sampled and noisy data.
  • Current ART implementations are time-consuming, limiting their application in real-time clinical settings.

Purpose of the Study:

  • To enhance the Algebraic Reconstruction Technique (ART) algorithm for faster image reconstruction.
  • To develop a block-wise parallel implementation of the ART algorithm optimized for CUDA-enabled Graphics Processing Units (GPUs).
  • To make the ART algorithm more efficient and applicable in clinical environments for real-time 3D imaging.

Main Methods:

  • Implemented a block-wise parallel processing strategy for rays within the ART algorithm.
  • Utilized CUDA-enabled GPUs for accelerated computation of the ART algorithm.
  • Tested the enhanced algorithm using a digital Shepp-Logan phantom for performance evaluation.

Main Results:

  • The GPU-accelerated ART algorithm demonstrated superior efficiency compared to existing CPU implementations.
  • The block-wise parallelization enabled efficient processing of rays on the GPU.
  • Achieved high computational efficiency, paving the way for real-time 3D image acquisition.

Conclusions:

  • The developed block-wise parallel ART algorithm on GPUs significantly improves reconstruction speed.
  • This advancement makes real-time 3D imaging feasible for clinical applications.
  • The optimized algorithm addresses the time-consuming nature of traditional ART, enhancing its clinical utility.