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

A computational model for electron backscattering in electron dosimetry

T Kellogg1, A K Ray

  • 1Department of Physics, University of Texas at Arlington 76019, USA.

Medical Physics
|January 1, 1995
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

Chik sign: post-chikungunya hyperpigmentation.

QJM : monthly journal of the Association of Physicians·2020
Same author

Species-specific detection of Candida tropicalis using evolutionary conserved intein DNA sequences.

Letters in applied microbiology·2018
Same author

Effect of orally administered vibrio bacterin on immunity, survival and growth in tiger shrimp (Penaeus monodon) grow-out culture ponds.

Letters in applied microbiology·2017
Same author

[Landmark-based statistical procrustes analysis in the examination of breast shape and symmetry].

Handchirurgie, Mikrochirurgie, plastische Chirurgie : Organ der Deutschsprachigen Arbeitsgemeinschaft fur Handchirurgie : Organ der Deutschsprachigen Arbeitsgemeinschaft fur Mikrochirurgie der Peripheren Nerven und Gefasse : Organ der V...·2015
Same author

A novel segmentation approach for noisy medical images using intuitionistic fuzzy divergence with neighbourhood-based membership function.

Journal of microscopy·2014
Same author

Mechanistic modeling of vacuum UV advanced oxidation process in an annular photoreactor.

Water research·2014
Same journal

Correction to "On the shape of the radiation survival curve in tumor spheroids: The role of oxygen heterogeneity".

Medical physics·2026
Same journal

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

Medical physics·2026
Same journal

Accuracy of quantitative <sup>177</sup>Lu SPECT/CT imaging: A systematic review.

Medical physics·2026
Same journal

Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

Medical physics·2026
Same journal

Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

Medical physics·2026
Same journal

Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

Medical physics·2026
See all related articles

A new electron transport algorithm models electron backscattering in dosimetry. The method shows reasonable agreement with experimental data at low energies and for low atomic number materials.

Area of Science:

  • Physics
  • Computational Physics
  • Medical Physics

Background:

  • Electron transport simulations are crucial for accurate electron dosimetry.
  • Modeling electron backscattering is a key challenge in radiation physics.
  • Invariant imbedding offers a novel approach to transport problems.

Purpose of the Study:

  • To develop a one-dimensional electron transport algorithm using invariant imbedding principles.
  • To apply this algorithm to the specific problem of electron backscattering in electron dosimetry.
  • To validate the algorithm's performance by comparing its results with experimental and Monte Carlo data.

Main Methods:

  • Developed a novel one-dimensional electron transport algorithm.
  • Utilized the mathematical framework of invariant imbedding.

Related Experiment Videos

  • Applied the algorithm to simulate electron backscattering phenomena.
  • Compared simulation results against established experimental and Monte Carlo methods.
  • Main Results:

    • The developed algorithm provides a viable method for simulating electron transport.
    • Reasonable agreement was observed between the algorithm's predictions and experimental/Monte Carlo results.
    • The agreement is particularly notable at low incident electron energies (0.5 to 10 MeV).
    • Good agreement was also found for materials with low atomic numbers (Z ≤ 65).

    Conclusions:

    • The invariant imbedding-based electron transport algorithm is a promising tool for electron dosimetry.
    • The algorithm demonstrates accuracy for specific conditions relevant to radiation therapy and diagnostics.
    • Further research may extend its applicability to higher energies and higher atomic number materials.