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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

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Related Experiment Video

Updated: Jun 13, 2026

Clinical Imaging of Microwave Mammography
05:28

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

The quantitative potential for breast tomosynthesis imaging.

Christina M Shafer1, Ehsan Samei, Joseph Y Lo

  • 1Department of Radiology, Carl E. Ravin Advanced Imaging Laboratories, Duke University Medical Center, Durham, North Carolina 27705, USA. christina.shafer@duke.edu

Medical Physics
|April 14, 2010
PubMed
Summary
This summary is machine-generated.

Breast tomosynthesis shows potential for quantitative tissue density measurements. Simple algorithms correlate image voxel values with actual tissue density, improving lesion characterization.

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Area of Science:

  • Medical Imaging
  • Radiology
  • Biophysics

Background:

  • Breast tomosynthesis offers improved lesion detection but faces challenges in depth resolution and quantitative accuracy.
  • Limited angular scan range in breast tomosynthesis affects depth resolution, potentially impacting tissue density quantification.

Purpose of the Study:

  • To assess the quantitative potential of breast tomosynthesis for tissue density measurement.
  • To evaluate simple reconstruction and image processing algorithms for accurate density quantification.
  • To explore improved lesion characterization and mammography-like image presentation.

Main Methods:

  • Utilized a Siemens prototype MAMMOMAT Novation TOMO system with a 45-degree angular span.
  • Employed Monte Carlo simulations and empirical measurements with tissue-equivalent phantoms.
  • Applied filtered backprojection reconstruction and corrected for background nonuniformities.

Main Results:

  • Lesion voxel values demonstrated a linear correlation with known glandular fraction (R2 > 0.90) across all conditions.
  • Statistically significant differences in fit line parameters were observed between different background materials and X-ray tube energies (28 kVp vs. others) for dense phantoms.
  • No significant differences were found between energies for fatty phantoms.

Conclusions:

  • Corrected breast tomosynthesis image voxel values show a strong positive correlation with true tissue density.
  • The consistent linearity indicates significant potential for quantitative imaging in breast tomosynthesis.
  • Developed methods support improved accuracy in characterizing breast tissue density.