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 model-based iterative reconstruction algorithm DIRA using patient-specific tissue classification via DECT for

Alexandr Malusek1,2, Maria Magnusson1,2,3, Michael Sandborg1,2

  • 1Radiation Physics, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.

Medical Physics
|April 4, 2017
PubMed
Summary

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

Photon-counting CT: image quality evaluation in patients with tibial plateau fracture treated with metallic osteosynthesis material.

European radiology experimental·2026
Same author

Radioanalytical method for <sup>148</sup>Gd analysis in environmental and bioassay samples.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2026
Same author

Optimizing material composition determination in dual-energy computed tomography: a comparative study of a linear model and a fully connected neural network.

Radiation protection dosimetry·2026
Same author

Evaluating the dual-energy iterative reconstruction algorithm (DIRA) for accurate CT number determination in DECT imaging.

Radiation protection dosimetry·2026
Same author

Quantitative determination of gadolinium and iodine contrast agents in dual-energy computed tomography via a dual-energy iterative reconstruction algorithm: a simulation study on multi-contrast imaging.

Radiation protection dosimetry·2026
Same author

Laboratory Assessment of Emicizumab Levels in Hemophilia A: Influence of Assay Selection on Reported Results.

Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis·2025
This summary is machine-generated.

A new algorithm, DIRA, accurately determines patient tissue elemental composition for brachytherapy and proton therapy. This method provides quantitative images, removing artifacts and ensuring fast convergence with stable noise levels.

Area of Science:

  • Medical Physics
  • Radiotherapy Physics
  • Image Reconstruction

Background:

  • Accurate elemental composition of tissues is crucial for radiation dosimetry in brachytherapy and proton therapy.
  • Current methods may struggle with quantitative analysis for low-energy photon and proton beams.
  • Novel reconstruction algorithms are needed to improve accuracy and reduce artifacts.

Purpose of the Study:

  • To develop and evaluate a novel iterative reconstruction algorithm (DIRA) for quantitative elemental composition determination.
  • To apply DIRA to brachytherapy with low-energy photons (< 50 keV) and proton therapy.
  • To assess DIRA's performance in a proof-of-concept configuration.

Main Methods:

  • DIRA is a model-based iterative reconstruction algorithm utilizing filtered backprojection, automatic segmentation, and multimaterial tissue decomposition.
Keywords:
quantitative dual energy computed tomographytissue composition

Related Experiment Videos

  • Simulations used a phantom based on the ICRP 110 male phantom, decomposing tissues into lipid, protein, water, compact bone, and bone marrow components.
  • Dual-energy CT (DECT) scanner simulation with 80 kV and Sn140 kV spectra was employed, considering various noise levels and performing uncertainty analysis.

    • Main Results:

    • DIRA achieved relative errors less than 0.5% for linear attenuation coefficients.
    • Errors in average mass fractions were < 0.04 (no/reduced noise) and < 0.11 (typical noise).
    • The algorithm converged rapidly within 5 iterations, with reduced computational complexity.

    Conclusions:

    • DIRA successfully determines elemental tissue composition for low-energy photon brachytherapy and proton therapy.
    • The algorithm produces quantitative monoenergetic images free from beam hardening artifacts.
    • Fast convergence, maintained image sharpness, and stable noise levels were demonstrated.