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A new scan conversion algorithm for ultrasound compound scanning.

S W Lee, S B Park

Ultrasonic Imaging

|July 1, 1985

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This study introduces an improved ultrasound scan conversion algorithm using concentric square raster sampling and 1D interpolation. It reduces reconstruction errors and simplifies digital scan converter implementation for spatial compounding.

Area of Science:

Medical Imaging
Ultrasound Technology
Digital Signal Processing

Background:

Ultrasound compound scanning enhances image quality by combining multiple scan lines.
Scan conversion is crucial for displaying ultrasound data from spatial to pixel domain.
Existing methods can be complex and prone to reconstruction errors.

Purpose of the Study:

To propose an improved scan conversion algorithm for ultrasound compound scanning.
To reduce reconstruction errors in ultrasound image processing.
To simplify the implementation of real-time digital scan converters.

Main Methods:

Input data sampled using concentric square raster sampling (CSRS).
Display pixel data filled using one-dimensional linear interpolation.

Related Experiment Videos

Comparison with existing 2D interpolation methods.

Main Results:

The proposed algorithm achieves significantly smaller reconstruction errors.
One-dimensional interpolation simplifies the process compared to two-dimensional methods.
Demonstrated feasibility for real-time digital scan converter (DSC) implementation.

Conclusions:

The CSRS method with 1D interpolation offers superior performance for ultrasound scan conversion.
This algorithm provides a more efficient and accurate approach to spatial compounding.
Simplified implementation facilitates advanced ultrasound imaging applications.