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

Non-recursive linear algorithms for optical imaging in diffusive media

D A Benaron1, D C Ho, S Spilman

  • 1Medical Imaging and Spectroscopy Section, Stanford School of Medicine, Palo Alto, CA, USA.

Advances in Experimental Medicine and Biology
|January 1, 1994
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

Development and validation of a machine-learning model for prediction of shoulder dystocia.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology·2019
Same author

Preterm birth phenotypes in women with autoimmune rheumatic diseases: a population-based cohort study.

BJOG : an international journal of obstetrics and gynaecology·2019
Same author

Disease burden in offspring is associated with changing paternal demographics in the United States.

Andrology·2019
Same author

Neuro-inflammatory effects of photodegradative products of bilirubin.

Scientific reports·2018
Same author

Out-of-hospital births in California 1991-2011.

Journal of perinatology : official journal of the California Perinatal Association·2017
Same author

'The obesity paradox': a reconsideration of obesity and the risk of preterm birth.

Journal of perinatology : official journal of the California Perinatal Association·2017
Same journal

Peptidomics in the Spotlight: Advanced Sample Treatment Techniques and Analytical Insights.

Advances in experimental medicine and biology·2026
Same journal

Methods for the Investigation of Protein-Ligands Interactions.

Advances in experimental medicine and biology·2026
Same journal

Sample Preparation Strategies for Microbial Cell Surface Proteomics: Integrating Shaving and Shotgun Approaches.

Advances in experimental medicine and biology·2026
Same journal

Proteomic Sample Preparation for the Petroleum Industry: A Biocorrosion Case Study.

Advances in experimental medicine and biology·2026
Same journal

Proteomic and Functional Comparison of Extracellular Vesicles from Wild-Type and Lyn-Deficient Stromal Cells.

Advances in experimental medicine and biology·2026
Same journal

Proteomic Analysis of Histone Sequence Variants and Post-translationally Modified Forms.

Advances in experimental medicine and biology·2026
See all related articles

Linear backprojection tomography offers a fast, feasible method for clinical optical imaging. This technique can generate functional brain images in under a minute, aiding stroke diagnosis.

Area of Science:

  • Biomedical optics
  • Medical imaging
  • Computational imaging

Background:

  • Optical imaging provides functional tissue information, like brain oxygenation during stroke.
  • Generating diagnostically useful images requires fast algorithms, especially when transmission geometries are challenging.
  • Nonlinear, recursive solutions can be complex and computationally intensive.

Purpose of the Study:

  • To propose and evaluate a linear algorithm for rapid image reconstruction in optical tomography.
  • To assess the feasibility of linear backprojection tomography for clinical applications.
  • To explore the potential for varied and physiological imaging geometries.

Main Methods:

  • Development of a linear backprojection tomography algorithm.

Related Experiment Videos

  • Testing the algorithm's performance under conditions simulating clinical scenarios.
  • Evaluation of image reconstruction speed and accuracy.

    • Main Results:

    • Linear backprojection tomography is demonstrated as feasible for clinical use.
    • The proposed linear algorithm allows rapid image reconstruction, avoiding pitfalls of nonlinear methods.
    • Conversion of existing scanning devices to clinical scanners is viable with current algorithms.

    Conclusions:

    • Linear backprojection tomography is a promising technique for rapid, functional brain imaging.
    • Clinical scanners utilizing this method could generate images in under a minute with centimeter resolution.
    • This approach has significant potential for improving stroke diagnosis and monitoring.