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Related Concept Videos

Imaging Studies III: Computed Tomography01:27

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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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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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Updated: Jan 10, 2026

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells
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Full-field breast tomosynthesis.

Andrew Smith1

  • 1Hologic Inc., Bedford, MA, USA. asmith@hologic.com

Radiology Management
|November 22, 2005
PubMed
Summary
This summary is machine-generated.

Breast tomosynthesis, a 3-D imaging technique, reconstructs multiple X-ray images into thin slices, reducing tissue overlap issues common in 2-D mammography.

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Area of Science:

  • Radiology and Medical Imaging
  • Biomedical Engineering

Background:

  • 2-D mammography often suffers from tissue overlap, leading to recalls and additional imaging.
  • Breast tomosynthesis offers a solution by minimizing these artifacts.

Purpose of the Study:

  • To describe the principles and system requirements of breast tomosynthesis.
  • To highlight its potential to improve diagnostic accuracy by reducing tissue overlap.

Main Methods:

  • Acquiring low-dose X-ray images of a compressed breast from multiple angles.
  • Reconstructing these projections into thin, high-resolution slices using specialized algorithms.
  • Examining system requirements including detector efficiency, dose, field of view, and geometry.

Main Results:

  • Tomosynthesis generates thin slices (e.g., 1 mm separation) of breast tissue.
  • This 3-D representation significantly reduces or eliminates the tissue overlap effect.
  • Reconstructed slices can be displayed individually or dynamically, similar to CT scans.

Conclusions:

  • Breast tomosynthesis effectively addresses tissue overlap limitations of 2-D mammography.
  • It holds potential for improved detection and reduced need for callbacks in breast cancer screening.