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VLSI in biomedical imaging systems

R Sridhar1, T Jones

  • 1Department of Electrical and Computer Engineering, State University of New York at Buffalo 14260, USA.

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|January 1, 1995
PubMed
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This study examines Very Large Scale Integration (VLSI) for medical imaging. VLSI offers enhanced computational power for image processing algorithms, improving hardware solutions over software methods.

Area of Science:

  • Biomedical Engineering
  • Computer Engineering

Background:

  • Medical imaging systems rely on complex processing techniques.
  • Traditional software-based image processing faces computational limitations.

Purpose of the Study:

  • To explore the application of Very Large Scale Integration (VLSI) in medical imaging systems.
  • To present the advantages of VLSI solutions for medical imaging challenges.

Main Methods:

  • Discussion of general imaging systems and techniques.
  • Analysis of VLSI solutions, including DSP processors, semi-custom, and full custom devices.
  • Integration of image processing algorithms into hardware using VLSI.

Main Results:

  • VLSI enables hardware integration of image processing algorithms.

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  • Increased computational capacity is achieved compared to software solutions.
  • VLSI offers a viable approach to enhance medical imaging system performance.

    • Conclusions:

    • VLSI systems provide significant advantages for medical imaging.
    • Hardware integration of algorithms via VLSI boosts computational power.
    • VLSI is a key technology for advancing medical imaging capabilities.