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

Multigrid tomographic inversion with variable resolution data and image spaces.

Seungseok Oh1, Charles A Bouman, Kevin J Webb

  • 1Fujifilm Software (California), Inc., San Jose, CA 95110, USA. soh@fujifilmsoft.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|September 5, 2006
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

Inhibition of SRC prevents bone metastasis of breast cancer by blocking metastatic cell motility and bone directionality.

Theranostics·2026
Same author

ADAMTS4 elicits myeloid-derived immune cell recruitment and liver fibrogenesis in metabolic dysfunction-associated steatotic liver disease.

Signal transduction and targeted therapy·2026
Same author

Targeting TYRO3 attenuates apoptotic cell-driven cancer stemness in triple negative breast cancer.

Cell communication and signaling : CCS·2026
Same author

FLIM-FRET as a Molecular Filter for Membrane-Induced Aggregation.

bioRxiv : the preprint server for biology·2026
Same author

Direct extraction of surface vibration profiles with optical beam deflection.

The Review of scientific instruments·2026
Same author

Multi-parameter fluorescence lifetime imaging for high-noise neuroscience applications.

Biomedical optics express·2026
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

A novel multigrid inversion method improves computational efficiency for inverse problems by using variable resolutions in both data and image spaces. This approach accelerates convergence, especially in data-rich applications like medical imaging.

Area of Science:

  • Medical imaging
  • Computational science
  • Applied mathematics

Background:

  • Inverse problems in medical imaging, such as transmission and emission tomography, are computationally intensive.
  • Conventional multigrid methods offer computational savings but can be limited by fixed data resolution.
  • Data-rich applications present unique challenges due to varying data resolutions across scales.

Purpose of the Study:

  • To introduce a novel multigrid inversion approach with variable resolutions in both data and image spaces.
  • To enhance computational efficiency for inverse problems, particularly in data-rich scenarios.
  • To demonstrate the application and benefits of this approach in Bayesian reconstruction algorithms.

Main Methods:

  • Developed a multigrid inversion technique allowing independent variation of data and image space resolutions.

Related Experiment Videos

  • Applied the method to Bayesian reconstruction in transmission and emission tomography.
  • Utilized a generalized Gaussian Markov random field image prior with Poisson noise and quadratic data terms.

    • Main Results:

    • The proposed variable-resolution multigrid approach significantly improves convergence speed.
    • Demonstrated superior performance compared to fixed-grid iterative coordinate descent methods.
    • Outperformed multigrid methods that maintain fixed data resolution across scales.

    Conclusions:

    • The variable-resolution multigrid inversion method offers substantial computational advantages for inverse problems.
    • This approach is particularly beneficial for data-rich imaging applications, enhancing reconstruction speed.
    • The findings suggest a more efficient pathway for complex iterative reconstruction tasks in medical imaging.