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

Three-dimensional encoding/two-dimensional decoding of medical data.

Gloria Menegaz1, Jean-Philippe Thiran

  • 1Department of Computer Science, University of Fribourg, CH-1700 Fribourg, Switzerland. gloria@ieee.org

IEEE Transactions on Medical Imaging
|May 23, 2003
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

Normative T<sub>1</sub> and T<sub>2</sub> Brain Atlases Across the Adult Lifespan in a Chinese Cohort: Multicenter Quantitative MRI Benchmarks for Ageing and Neurodegenerative Research.

Human brain mapping·2026
Same author

Introducing a translationally relevant mouse model of radiosurgery-induced unilateral hearing loss.

Frontiers in neuroscience·2026
Same author

How Much Does Motion Matter? Evaluating the Motion Robustness of pTx Pulses at 7 T.

Magnetic resonance in medicine·2026
Same author

Algebraic Connectivity Reveals Modulated High-Order Functional Networks in Alzheimer's Disease.

ArXiv·2026
Same author

Combined caLculation of Ultra-high field Biases (CLUB) With Sandwich: Fast, Simultaneous Estimation of 3D B<sub>0</sub> and Multi-Channel B<sub>1</sub> <sup>+</sup> Maps at 7 T.

Magnetic resonance in medicine·2026
Same author

Artificial Intelligence and Wearable Technologies for Upper Limb Neurorehabilitation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
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

This study introduces a novel 3-D wavelet coding system for efficient compression and 2-D image access. The system achieves significant coding efficiency improvements for volumetric data without sacrificing 2-D image accessibility.

Area of Science:

  • * Digital image processing
  • * Data compression
  • * Wavelet transforms

Background:

  • * Traditional 2-D coding systems struggle with volumetric data efficiency.
  • * Existing 3-D coding methods often compromise individual slice accessibility.
  • * Need for efficient compression and retrieval of multi-dimensional datasets.

Purpose of the Study:

  • * To develop a hybrid 3-D encoding/2-D decoding wavelet-based system.
  • * To enable scalable quality and fast access to individual 2-D images within volumetric data.
  • * To improve coding efficiency for volumetric data compared to existing methods.

Main Methods:

  • * Implementation of a fully three-dimensional (3-D) wavelet transform.
  • * Integration with context-adaptive arithmetic coding.

Related Experiment Videos

  • * Independent encoding of 2-D subband images for 2-D decoding.

    • Main Results:

    • * Achieved substantial coding efficiency improvements (up to 33%) on volumetric data with z-axis correlation.
    • * Demonstrated lossless quality scalability for individual 2-D images.
    • * Enabled fast 2-D image access by decoding only relevant data.

    Conclusions:

    • * The proposed 3-D/2-D system offers 3-D compression benefits while retaining 2-D accessibility.
    • * Efficiently compresses volumetric data, crucial for medical imaging and other scientific fields.
    • * Potential for near real-time 2-D image retrieval after optimization.