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Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
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Revisiting artifact spread function evaluation in digital breast tomosynthesis systems.

Jesus G Ovejero1, Miguel Alarcia2, José Carlos Barba2

  • 1Service of Dosimetry and Radioprotection, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Department of Radiation Physics and Radiation Protection, Clínica Universidad de Navarra, Avda. Marquesado de Santa Marta, 1, 28027 Madrid, Spain.

Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)
|April 25, 2025
PubMed
Summary

Zipper artifacts in Digital Breast Tomosynthesis (DBT) imaging can hinder cancer detection. This study found that the best method to evaluate these artifacts varies by imaging system, highlighting the need for standardized, system-specific artifact assessment.

Keywords:
Aluminum spheresArtifact Spread FunctionDigital Breast TomosynthesisPhantomSlinky artifactsZipper artifact

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Area of Science:

  • Medical Imaging
  • Radiology
  • Biomedical Engineering

Background:

  • Digital Breast Tomosynthesis (DBT) is crucial for breast cancer detection.
  • Zipper artifacts in DBT images complicate accurate diagnosis.
  • A standardized methodology for evaluating zipper artifacts is lacking.

Purpose of the Study:

  • To identify the optimal method for characterizing zipper artifacts.
  • To use Full Width at Half Maximum (FWHM) of the Artifact Spread Function (ASF) as a metric.
  • To employ aluminum sphere phantoms for generating zipper artifacts.

Main Methods:

  • Compared zipper artifact characterization on GE Senographe Pristine (SP-GE) and Hologic Selenia Dimensions (SD-HO) systems.
  • Calculated ASF using maximum value, mean value, and a hybrid method.
  • Evaluated ASF generated by aluminum, lead, tungsten, and ceramic markers, and a commercial phantom.

Main Results:

  • The hybrid ASF method was most reliable for the SP-GE system.
  • The mean value ASF method best suited the SD-HO system.
  • Ceramic and lead markers better replicated clinical zipper artifacts across most methods.

Conclusions:

  • Selecting an appropriate artifact evaluation methodology depends on the specific DBT system.
  • Standardized approaches are needed to account for system-specific differences in artifact assessment.
  • Accurate artifact assessment is vital for reliable breast cancer diagnosis using DBT.