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 Concept Videos

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A python framework for single-image characterization of X-ray focal spot distribution and detector point spread function.

Medical physics·2026
Same author

Corrigendum: Phase-contrast breast CT: the effect of propagation distance (2018<i>Phys. Med. Biol</i>.<b>63</b>24NT03).

Physics in medicine and biology·2026
Same author

Characterization of breast tissues in density and effective atomic number basis via spectral X-ray computed tomography.

Physics in medicine and biology·2023
Same author

First Results on Zinc Oxide Thick Film Deposition by Inverted Magnetron Sputtering for Cyclotron Solid Targets Production.

Materials (Basel, Switzerland)·2023
Same author

The Effect of Submaximal Exercise on Jugular Venous Pulse Assessed by a Wearable Cervical Plethysmography System.

Diagnostics (Basel, Switzerland)·2022
Same author

A Cationic Contrast Agent in X-ray Imaging of Articular Cartilage: Pre-Clinical Evaluation of Diffusion and Attenuation Properties.

Diagnostics (Basel, Switzerland)·2022

Related Experiment Video

Updated: Jun 30, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Generalized subtraction methods in digital mammography.

Angelo Taibi1

  • 1Dipartimento di Fisica, Università di Ferrara, via Saragat 1, 44100 Ferrara, Italy. taibi@fe.infn.it

European Journal of Radiology
|September 19, 2008
PubMed
Summary

Generalized subtraction methods enhance digital mammography for breast cancer early diagnosis. These techniques improve the conspicuity of subtle lesions, especially in dense breasts, by overcoming anatomical obscurities.

More Related Videos

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

Clinical Imaging of Microwave Mammography
05:28

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Related Experiment Videos

Last Updated: Jun 30, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

Clinical Imaging of Microwave Mammography
05:28

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Area of Science:

  • Radiology
  • Medical Imaging
  • Oncology

Background:

  • Digital mammography advances early breast cancer detection.
  • Subtle early cancer signs can be obscured by dense breast tissue and normal anatomy.
  • Improved lesion conspicuity is crucial for accurate diagnosis.

Purpose of the Study:

  • To present and compare generalized subtraction methods for digital mammography.
  • To address the challenge of subtle lesion detection in dense breasts.
  • To enhance the conspicuity of early breast cancer manifestations.

Main Methods:

  • Application of generalized subtraction techniques in digital mammography.
  • Exploitation of depth-dependent information (e.g., tomographic techniques).
  • Temporal domain subtraction with contrast medium (digital angiography).

Main Results:

  • Generalized subtraction methods offer a unified approach to lesion detection.
  • Techniques improve the visibility of subtle abnormalities.
  • Effectiveness is particularly noted in dense breast tissue.

Conclusions:

  • Generalized subtraction methods represent a significant advancement in mammographic analysis.
  • These techniques hold potential for improving early breast cancer diagnosis.
  • Further research and application of these methods are warranted.