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ATMTN: a telemammography network architecture.

Ehsan O Sheybani1, Ravi Sankar

  • 1University of South Florida, Tampa, FL 33620 USA. e.sheybani@morehead-state.edu

IEEE Transactions on Bio-Medical Engineering
|January 25, 2003
PubMed
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This study introduces an asynchronous transfer mode telemammography network (ATMTN) to improve breast cancer screening accessibility and accuracy. The ATMTN integrates advanced networking and computer-aided detection to enable real-time diagnosis, especially for remote populations.

Area of Science:

  • Medical Imaging
  • Telemedicine
  • Biomedical Engineering

Background:

  • Mammography screening aims for 80% eligible women, yet remains a challenge.
  • Breast cancer shows positive growth, unlike other cancers, due to complex, lengthy examinations and limited access in remote areas.
  • Current screening requires frequent in-person visits to healthcare facilities.

Purpose of the Study:

  • To develop and present an asynchronous transfer mode telemammography network (ATMTN) architecture for real-time, online breast cancer screening, detection, and diagnosis.
  • To enhance the accessibility and efficiency of mammography screening, particularly for women in remote locations.
  • To integrate advanced networking and computer-aided diagnosis/digital signal processing (CAD/DSP) for improved accuracy and reduced costs.

Main Methods:

Related Experiment Videos

  • Development of ATMTN infrastructure with high-speed (155 MB/s) links for real-time mammogram transmission and diagnosis.
  • Implementation of object-oriented compression methods for efficient storage, retrieval, and transmission of mammograms.
  • Optimization of detection algorithms for identifying normal images and resolving compatibility issues using Digital Imaging and Communications in Medicine (DICOM) 3.0 standards.

Main Results:

  • Demonstrated a validated system for delivering mammography screening services via high-speed networks.
  • Achieved real-time, network-transmitted, high-resolution mammograms for immediate diagnosis as a 'second opinion' strategy.
  • Integrated adaptive CAD/DSP methods for robust performance with large image databases and diverse input sources.

Conclusions:

  • ATMTN offers higher penetration for cancer screening, leading to increased efficiency, better accuracy, and potentially lower costs.
  • The developed infrastructure and algorithms facilitate remote diagnostics, bringing breast cancer care to patients.
  • ATMTN-based telemammography effectively addresses the challenges of accessibility and timeliness in breast cancer screening.