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

Parallel programming of gradient-based iterative image reconstruction schemes for optical tomography.

Andreas H Hielscher1, Sebastian Bartel

  • 1Departments of Biomedical Engineering and Radiology, Columbia University, 500 West 120th Street, MC 8904, New York, NY 10027, USA. ahh2004@columbia.edu

Computer Methods and Programs in Biomedicine
|February 6, 2004
PubMed
Summary

Parallel algorithms accelerate optical tomography image reconstruction. Developed algorithms significantly reduce computation times for near-infrared imaging, making clinical applications faster and more feasible.

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

Patient-Friendly Real-Time Optical Tomographic Imaging System (LOTIS) for Lupus Arthritis.

Biosensors·2026
Same author

Assessing hemodynamic changes in diabetic patients with and without peripheral arterial disease using dynamic vascular optical spectroscopy.

Biomedical engineering online·2026
Same author

Preliminary Study Using Wearable Near-Infrared Spectroscopy for Continuous Monitoring of Hemodynamics Through the Carotid Artery.

Biosensors·2025
Same author

Evaluating hemodynamic response to treatment in patients with peripheral arterial disease using dynamic vascular optical spectroscopy.

Journal of biomedical optics·2024
Same author

High-Speed Time-Domain Diffuse Optical Tomography with a Sensitivity Equation-based Neural Network.

IEEE transactions on computational imaging·2023
Same author

Postintervention monitoring of peripheral arterial disease wound healing using dynamic vascular optical spectroscopy.

Journal of biomedical optics·2022

Area of Science:

  • Medical Imaging
  • Computational Science
  • Biomedical Engineering

Background:

  • Optical tomography (OT) is an emerging imaging technique using near-infrared (NIR) light.
  • Reconstructing images from NIR data is computationally intensive and time-consuming.
  • Iterative reconstruction schemes are commonly used but slow.

Purpose of the Study:

  • To develop and implement parallel algorithms for accelerating OT image reconstruction.
  • To address the computational challenges in converting NIR measurements into cross-sectional images.
  • To improve the speed of iterative reconstruction for clinically relevant problems.

Main Methods:

  • Developed and implemented parallel algorithms on a cluster of workstations.
  • Introduced static process distribution and dynamic load balancing schemes.

Related Experiment Videos

  • Tested algorithms on heterogeneous clusters with varying machine performances.

    • Main Results:

    • Parallel algorithms demonstrated significant acceleration of the OT image reconstruction process.
    • Computation times for clinically relevant problems were substantially reduced.
    • Load balancing schemes proved effective for heterogeneous computing environments.

    Conclusions:

    • Parallel computing offers a viable solution to accelerate optical tomography image reconstruction.
    • The developed algorithms significantly decrease computation time, enhancing clinical applicability.
    • Dynamic load balancing is crucial for optimizing performance on diverse computational clusters.