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Related Experiment Videos

A real-time scan conversion algorithm on commercially available microprocessors

C Basoglu1, Y Kim, V Chalana

  • 1Department of Electrical Engineering, University of Washington, Seattle 98195-2500, USA.

Ultrasonic Imaging
|October 1, 1996
PubMed
Summary
This summary is machine-generated.

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A new ultrasound scan conversion algorithm enhances processing efficiency by concurrently handling data loading and calculations with interpolation. This optimized approach enables real-time video rate scan conversion on modern processors.

Area of Science:

  • Medical Imaging
  • Computer Science
  • Signal Processing

Background:

  • Ultrasound scan conversion is crucial for image display.
  • Existing algorithms face limitations in processing speed and efficiency on modern hardware.
  • Efficient scan conversion is necessary for real-time medical imaging applications.

Purpose of the Study:

  • To develop a highly efficient ultrasound scan conversion algorithm for modern microprocessors.
  • To optimize the utilization of processing units and direct memory access (DMA) controllers.
  • To achieve scan conversion at video rates.

Main Methods:

  • Developed a novel scan conversion algorithm leveraging concurrent address calculation, I/O data loading, and interpolation.
  • Utilized a direct memory access (DMA) controller for independent handling of I/O operations.

Related Experiment Videos

  • Exploited superscalar and VLIW processor capabilities for parallel operations.
  • Implemented the algorithm on the Texas Instruments TMS320C80 Multimedia Video Processor (MVP).
  • Main Results:

    • The algorithm efficiently dedicates processing power to pixel interpolations.
    • It avoids non-productive cycles for address calculations and blanking.
    • Achieved an execution time of 11.4 ms for 101,829 nonzero output pixels.
    • Demonstrated substantial improvement over previous scan conversion methods.

    Conclusions:

    • The new algorithm offers significant efficiency gains for ultrasound scan conversion.
    • Optimized implementation enables modern processors to support scan conversion at video rates.
    • This advancement has the potential to enhance real-time ultrasound imaging systems.