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 Bayesian optical image reconstruction with domain decomposition.

M J Eppstein1, D E Dougherty, D J Hawrysz

  • 1Department of Computer Science and of Civil and Environmental Engineering, University of Vermont, Burlington 05405, USA. Maggie.Eppstein@uvm.edu

IEEE Transactions on Medical Imaging
|May 9, 2001
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

Intrathecal drug delivery in the era of nanomedicine.

Advanced drug delivery reviews·2020
Same author

Lymphatic delivery of etanercept via nanotopography improves response to collagen-induced arthritis.

Arthritis research & therapy·2017
Same author

A novel mutation in CELSR1 is associated with hereditary lymphedema.

Vascular cell·2016
Same author

A review of performance of near-infrared fluorescence imaging devices used in clinical studies.

The British journal of radiology·2014
Same author

Optical properties of normal and diseased breast tissues: prognosis for optical mammography.

Journal of biomedical optics·2012
Same author

Concentration of indocyanine green does not significantly influence lymphatic function as assessed by near-infrared imaging.

Lymphatic research and biology·2012
Same journal

MUST: Multi-style virtual staining with incomplete pairs.

IEEE transactions on medical imaging·2026
Same journal

BrainCL: Transformer-Based Brain Network Contrastive Learning with Multi-Order Topology and Salience Masking.

IEEE transactions on medical imaging·2026
Same journal

LLM-enhanced Neuron Segmentation and Reconstruction in Complex Mouse Brain Images.

IEEE transactions on medical imaging·2026
Same journal

Matrixed-Spectrum Decomposition Accelerated Linear Boltzmann Transport Equation Solver for Fast Scatter Correction in Multi-Spectral CT.

IEEE transactions on medical imaging·2026
Same journal

The Ritz Adjoint Method for MRI Pulse Design.

IEEE transactions on medical imaging·2026
Same journal

Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

IEEE transactions on medical imaging·2026
See all related articles

This study introduces a computationally efficient 3-D optical tomography method, APPRIZE, for improved near-infrared imaging. It enables accurate reconstruction of fluorescent contrast agent absorption in large 3-D domains.

Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Computational Science

Background:

  • Near-infrared optical tomography (NIOT) is often limited to 2D due to computational demands of 3D inversion.
  • Existing methods struggle with the complexity of full 3D data reconstruction.

Purpose of the Study:

  • To extend the computationally efficient APPRIZE method for 3D optical tomography.
  • To enable tractable 3D reconstructions in arbitrarily large domains.

Main Methods:

  • Domain decomposition was used to extend the APPRIZE method to 3D.
  • The method was tested on simulated frequency-domain photon migration data.
  • Sensitivity was assessed by identifying simulated heterogeneities in 3D domains.

Main Results:

Related Experiment Videos

  • The extended APPRIZE method demonstrated computational tractability for 3D optical tomography.
  • Performance was evaluated based on subdomain size and background optical property variations.
  • Accurate absorption maps were recovered using simulated fluorescent contrast agent data.

Conclusions:

  • The APPRIZE method, extended via domain decomposition, offers a computationally feasible approach for 3D optical tomography.
  • This advancement facilitates more complex and accurate near-infrared imaging reconstructions.