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

Using simple mathematical functions to simulate pathological structures--input for digital mammography clinical

M Ruschin1, A Tingberg, M Båth

  • 1Department of Medical Radiation Physics, Lund University, Malmö University Hospital, SE-205-02 Malmö, Sweden. mark.ruschin@rfa.mas.lu.se

Radiation Protection Dosimetry
|June 4, 2005
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

Spatially resolved micromechanical characterisation of human testis tissue reveals distinct signatures across developing, adult and pathological tissue states.

Bioactive materials·2026
Same author

Assessing the robustness of AI lesion risk scores at different exposure settings using an anthropomorphic breast phantom.

Radiation protection dosimetry·2026
Same author

How does intelligent noise reduction software influence the image quality in pelvic digital radiography: Response.

Journal of medical imaging and radiation sciences·2025
Same author

How much resources are reasonable to spend on radiological protection?

Journal of radiological protection : official journal of the Society for Radiological Protection·2024
Same author

How does intelligent noise reduction software influence the image quality in pelvic digital radiography: A phantom study.

Journal of medical imaging and radiation sciences·2024
Same author

Cylindrical ionization chamber response in static and dynamic 6 and 15 MV photon beams.

Biomedical physics & engineering express·2023

Simulated breast cancer lesions were created for digital mammography research. These realistic structures will assess detectability in low-dose imaging trials.

Area of Science:

  • Medical Imaging
  • Radiology
  • Oncology

Background:

  • Digital mammography is crucial for breast cancer detection.
  • Reducing radiation dose while maintaining image quality is an ongoing challenge.
  • Realistic phantoms are needed to evaluate imaging techniques.

Purpose of the Study:

  • To create realistic simulated breast cancer mammographic lesions.
  • To evaluate the appearance of these simulated lesions in digital mammograms.
  • To prepare for a clinical trial investigating dose reduction in digital mammography.

Main Methods:

  • Developed simulated structures representing solid tumors and microcalcifications using mathematical functions.
  • Integrated these simulated lesions into digital mammography images across different breast tissues.

Related Experiment Videos

  • Assessed the visual realism of the simulated lesions within the clinical images.
  • Main Results:

    • Successfully generated realistic simulated mammographic lesions.
    • Demonstrated the integration of these lesions into diverse breast tissue types.
    • Validated the visual fidelity of simulated structures for further research.

    Conclusions:

    • The simulated lesions provide a valuable tool for digital mammography research.
    • These realistic structures are suitable for input into large-scale clinical trials.
    • The study lays the groundwork for evaluating dose reduction strategies in mammography.