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 Experiment Video

Updated: May 3, 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

42.6K

Pectoral muscle detection in mammograms using local statistical features.

Li Liu1, Qian Liu, Wei Lu

  • 1School of Electronic Information Engineering, Tianjin University, Tianjin, 300072, China, lliu@tju.edu.cn.

Journal of Digital Imaging
|February 1, 2014
PubMed
Summary

Accurate pectoral muscle (PM) identification in mammography is crucial for breast cancer diagnosis. This study introduces a novel algorithm using statistical features and iterative refinement, achieving state-of-the-art performance in PM boundary detection.

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

Evaluation of red CdTe and near infrared CdHgTe quantum dots by fluorescent imaging.

Journal of nanoscience and nanotechnology·2008
Same author

Exploring feasibility of multicolored CdTe quantum dots for in vitro and in vivo fluorescent imaging.

Journal of nanoscience and nanotechnology·2008
Same author

[Effects of Dahuang Zhechong Pill on expressions of tissue inhibitor of metalloproteinase-1 and plasminogen activator inhibitor-1 in rats with glomerulosclerosis].

Zhong xi yi jie he xue bao = Journal of Chinese integrative medicine·2008
Same author

[Construction and expression of a fusion protein containing extracellular domain of human Delta-like1 and Fc fragment of human IgG1 in the Pichia pastoris].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology·2008
Same author

[Preparation and characterization of the monoclonal antibodies to PTD-bcr/abl].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology·2008
Same author

Prostaglandin F2alpha induces the normoxic activation of the hypoxia-inducible factor-1 transcription factor in differentiating 3T3-L1 preadipocytes: Potential role in the regulation of adipogenesis.

Journal of cellular biochemistry·2008

Area of Science:

  • Medical Imaging
  • Radiology
  • Biomedical Engineering

Background:

  • Mammography is essential for breast cancer diagnosis.
  • Accurate separation of pectoral muscles (PM) from breast tissue is vital.
  • Existing Hough-transform methods struggle with non-linear PM edges.

Purpose of the Study:

  • To develop a novel algorithm for precise pectoral muscle identification in mammograms.
  • To overcome limitations of current methods in detecting complex PM boundaries.
  • To improve the accuracy of separating pectoral muscles from breast tissue.

Main Methods:

  • Utilized statistical features of pixel responses, including the Anderson-Darling goodness-of-fit test.
  • Applied a global weighting scheme to suppress non-PM regions based on location.

More Related Videos

Clinical Imaging of Microwave Mammography
05:28

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

445
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

25.0K

Related Experiment Videos

Last Updated: May 3, 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

42.6K
Clinical Imaging of Microwave Mammography
05:28

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

445
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

25.0K
  • Employed row-wise peak detection and an iterative procedure for edge continuity and orientation analysis.
  • Validated performance using false positive rate, false negative rate, Hausdorff distance, and average distance on a public database.

    • Main Results:

    • The proposed algorithm demonstrated superior performance in pectoral muscle boundary detection.
    • Achieved state-of-the-art results across four key performance metrics.
    • Successfully identified pectoral muscle boundaries even when edges were not straight lines.

    Conclusions:

    • The novel statistical feature-based algorithm significantly enhances pectoral muscle identification accuracy in mammography.
    • This method offers improved performance over existing techniques for pectoral muscle segmentation.
    • The findings contribute to more reliable breast cancer diagnosis through better image analysis.