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

You might also read

Related Articles

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

Sort by
Same author

3D virtual histopathology of human breast tissues using an X-ray grating interferometry micro CT system.

Experimental and molecular pathology·2026
Same author

Histology-guided 3D virtual staining of microCT-imaged lung tissue via deep learning.

Journal of the Royal Society, Interface·2026
Same author

Effect of Increased Image Matrix on Lung Nodule Volumetry in Chest CT: A Phantom Study.

Anticancer research·2026
Same author

Are you always working in the dark? The impact of limited daylight exposure on radiologists' health.

Insights into imaging·2026
Same author

The Impact of AI on Eye Gaze Patterns in Chest X-Ray Interpretation: An Eye Tracking Study of Novice and Expert Radiologists.

Investigative radiology·2026
Same author

Association Between AI-derived Thoracic Calcium Volume and Aortic Valve Calcification Quantified by Agatston Scoring.

In vivo (Athens, Greece)·2026

Related Experiment Video

Updated: Apr 13, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

23.6K

Quantitative volumetric breast density estimation using phase contrast mammography.

Zhentian Wang1, Nik Hauser, Rahel A Kubik-Huch

  • 1Swiss Light Source, Paul Scherrer Institut, 5232 Villigen, Switzerland. Institute for Biomedical Engineering, University and ETH Zürich, 8092 Zürich, Switzerland.

Physics in Medicine and Biology
|May 2, 2015
PubMed
Summary
This summary is machine-generated.

A new phase contrast mammography method estimates volumetric breast density (VBD) using absorption and scattering signals. This quantitative approach shows consistency with radiologist scores, improving breast imaging diagnostics.

More Related Videos

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
06:03

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis

Published on: February 6, 2020

7.3K
Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model
08:08

Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model

Published on: June 11, 2014

16.5K

Related Experiment Videos

Last Updated: Apr 13, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

23.6K
Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
06:03

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis

Published on: February 6, 2020

7.3K
Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model
08:08

Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model

Published on: June 11, 2014

16.5K

Area of Science:

  • Medical Imaging
  • Biophysics
  • Radiology

Background:

  • Phase contrast mammography offers complementary data beyond conventional absorption-based breast imaging.
  • Quantitative analysis of absorption, differential phase, and small-angle scattering signals can enhance diagnostic value.

Purpose of the Study:

  • To develop and validate a non-parametric quantitative method for volumetric breast density estimation (VBD).
  • To utilize the ratio of absorption to small-angle scattering signals for breast composition analysis.

Main Methods:

  • A novel R value, derived from absorption and small-angle scattering signals, was employed for breast composition analysis.
  • Volumetric breast density (VBD) was calculated analytically based on the R value and pixel-wise breast density.
  • The method was validated using phantom studies, mastectomy samples, and clinical mammograms (CC and AP views).

Main Results:

  • The proposed method demonstrated consistent VBD estimations compared to pre-surgical ACR scores.
  • A significant positive correlation was observed between estimated VBD and diagnostic ACR scores for both CC (p=0.033) and AP (p=0.001) views.
  • High correlation (γ=0.77) between CC and AP view results indicates method robustness and quantitative accuracy.

Conclusions:

  • The developed method provides effective and quantitative volumetric breast density estimation.
  • Phase contrast mammography's quantitative signals offer valuable diagnostic information for breast imaging.
  • This approach enhances breast density assessment, complementing existing radiological evaluations.