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Updated: Jun 18, 2026

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

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

Published on: August 30, 2013

Mammogram enhancement using alpha weighted quadratic filter.

Yicong Zhou¹, Karen Panetta, Sos Agaian

¹Department of Electrical and Computer Engineering, Tufts University, Medford, MA 02155, USA. yzhou0a@ece.tufts.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 8, 2009

Summary

This summary is machine-generated.

A new alpha weighted quadratic filter enhances mammogram quality for better breast cancer detection. This method improves image contrast and resolution without needing prior image knowledge, aiding in early diagnosis.

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

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Published on: December 15, 2014

Area of Science:

Medical Imaging
Digital Image Processing
Biomedical Engineering

Background:

Mammography is crucial for breast cancer detection.
Image quality limitations (poor resolution, low contrast) hinder accurate diagnosis.
Image enhancement techniques can improve mammogram visual quality.

Purpose of the Study:

Introduce a novel nonlinear filter, the alpha weighted quadratic filter, for mammogram enhancement.
Provide user flexibility in parameter selection for filter design.
Evaluate the filter's effectiveness in improving mammogram quality and enabling segmentation.

Main Methods:

Developed a new nonlinear filter: the alpha weighted quadratic filter.
Implemented manual parameter selection and quantitative measure-based optimization.
Conducted computer simulations to assess enhancement and segmentation capabilities.

Main Results:

The alpha weighted quadratic filter achieved excellent enhancement results.
The filter demonstrated effectiveness without requiring prior knowledge of mammogram content.
The filter showed potential for automatic segmentation of mammographic features.

Conclusions:

The alpha weighted quadratic filter is a powerful tool for enhancing mammogram quality.
The filter offers adaptable design for optimal image enhancement.
This technique shows promise for improving breast cancer detection and analysis through enhanced imaging and segmentation.