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Related Experiment Videos

Bilateral analysis based false positive reduction for computer-aided mass detection.

Yi-Ta Wu1, Jun Wei, Lubomir M Hadjiiski

  • 1Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109, USA. yitawu@umich.edu

Medical Physics
|September 21, 2007
PubMed
Summary
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This study introduces a new method using bilateral mammograms to reduce false positives in computerized mass detection. The bilateral approach significantly decreased false positive rates by up to 44% compared to unilateral systems.

Area of Science:

  • Medical Imaging
  • Computer-Aided Detection
  • Radiology

Background:

  • Computer-aided detection (CAD) systems for mammography aim to improve cancer detection rates.
  • False positives (FPs) in CAD systems can lead to unnecessary patient anxiety and further testing.
  • Analyzing bilateral mammograms offers potential for improved diagnostic accuracy by assessing symmetry.

Purpose of the Study:

  • To develop and evaluate a false positive reduction method for computerized mass detection using bilateral mammogram analysis.
  • To assess the effectiveness of incorporating bilateral symmetry information into CAD systems.
  • To compare the performance of a bilateral CAD system against a unilateral CAD system in terms of false positive rates.

Main Methods:

  • Developed a false positive reduction method utilizing bilateral mammogram analysis for computerized mass detection.

Related Experiment Videos

  • Employed a regional registration technique to define symmetrical regions of interest (ROIs) on contralateral mammograms.
  • Extracted texture and morphological features from corresponding ROIs, generated bilateral features, and used linear discriminant analysis (LDA) classifiers for feature fusion and classification.
  • Utilized a dataset of 341 cases of bilateral two-view mammograms for training and testing, with twofold cross-validation.

    • Main Results:

    • The bilateral CAD system achieved case-based sensitivities of 70%, 80%, and 85% at average FP rates of 0.35, 0.75, and 0.95 FPs/image, respectively.
    • Compared to the unilateral CAD system, the bilateral approach reduced FP rates by 40%, 44%, and 42% at corresponding sensitivities.
    • The improvement in performance using bilateral symmetry information was statistically significant (p < 0.05) as estimated by JAFROC analysis.

    Conclusions:

    • Bilateral mammogram analysis significantly reduces false positive rates in computerized mass detection systems.
    • Incorporating bilateral symmetry information enhances the performance of CAD systems, leading to more accurate mass detection.
    • The developed bilateral CAD system shows promise for improving the efficiency and accuracy of mammographic screening.