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 Experiment Videos

Fast maximum intensity projection algorithm using shear warp factorization and reduced resampling.

Laifa Fang1, Yi Wang, Bensheng Qiu

  • 1PLA General Hospital, Beijing, China.

Magnetic Resonance in Medicine
|April 12, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

NIR-Programmable Stealth 2D Black Phosphorus Nanobiointerfaces for Deep Tumor Penetration and Photoimmunotherapy.

ACS nano·2026
Same author

A wearable paper-based SGR/MCC microneedle array sensor for continuous glucose monitoring.

Microsystems & nanoengineering·2026
Same author

Simultaneous multi-band multi-spectral imaging using multi-band RF excitation for accelerated metal artifact reduction in MRI-guided interventions.

Medical physics·2026
Same author

An integrated electrochemical microfluidic chip for simultaneous detection of uric acid and interleukin-6.

Mikrochimica acta·2026
Same author

Moral inconsistency is based on the vmPFC's insufficient representation across tasks and connectedness.

Cell reports·2026
Same author

Harmonic-mapping-based design of gradient coils on irregular MRI surfaces.

Medical physics·2026
Same journal

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

Magnetic resonance in medicine·2026
Same journal

Dependence of the Extra-Cellular Diffusion Coefficient on the Fractions of Neurites and Cell Bodies in Gray Matter.

Magnetic resonance in medicine·2026
Same journal

Triple-Pulse <sup>23</sup>Na MRI Sequence (TriNa) for Simultaneous Acquisition of Spin-Density-Weighted and Fluid-Attenuated Images.

Magnetic resonance in medicine·2026
Same journal

Evaluation of Phantom Doping Materials in Quantitative Susceptibility Mapping.

Magnetic resonance in medicine·2026
Same journal

Design of an 8-Channel Transmit 32-Channel Receive 11.7T Head Coil and Evaluation of SNR Gains.

Magnetic resonance in medicine·2026
Same journal

The Potential for Absolute Temperature Imaging Based on Brain Metabolites Using an FID-Shifting Approach in Gradient Echo Planar Spectroscopic Imaging (GREPSI).

Magnetic resonance in medicine·2026
See all related articles

This study introduces a faster Maximal Intensity Projection (MIP) algorithm for viewing MRA and angiographic data. The new method speeds up processing by over 10 times, reducing computational costs.

Area of Science:

  • Medical Imaging
  • Computer Vision
  • Computational Science

Background:

  • Maximal Intensity Projection (MIP) is essential for visualizing volumetric angiographic data, such as MRA.
  • Current MIP implementations, like ray casting, are computationally intensive and slow.

Purpose of the Study:

  • To develop a significantly faster algorithm for Maximal Intensity Projection.
  • To reduce the computational expense associated with processing volumetric angiographic data.

Main Methods:

  • The study employed shear warp factorization and reduced resampling techniques.
  • These methods were used to minimize redundant computations during the projection process.

Main Results:

  • The novel MIP algorithm achieved a speed-up of more than 10 times compared to conventional methods.

Related Experiment Videos

  • Significant reduction in computational redundancy was observed.
  • Conclusions:

    • The developed fast MIP algorithm offers a substantial improvement in processing speed for volumetric angiographic data.
    • This advancement can enhance the efficiency of medical image analysis and visualization.