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An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging

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Clinical ultrasound image standardization using histogram specification.

Rahul Roy¹, Susmita Ghosh², Ashish Ghosh³

¹Department of Computer Science and Engineering, National Institute of Science and Technology, Berhampur, India.

Computers in Biology and Medicine

|May 19, 2020

Summary

This summary is machine-generated.

This study introduces a new ultrasound image standardization method using histogram specification. The approach preserves echo-texture relationships and is more stable than linear scaling, improving image quality.

Keywords:

Clinical ultrasound images Histogram specification Image standardization

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Area of Science:

Medical Imaging
Image Processing
Ultrasound Technology

Background:

Ultrasound images often suffer from variations in echo-texture due to differing scanner gains.
Standardization is crucial for consistent image analysis and interpretation in medical diagnostics.

Purpose of the Study:

To develop a novel ultrasound image standardization approach.
To preserve non-linear echo-texture relationships during image transformation.
To ensure the stability and endurance of standardized ultrasound images.

Main Methods:

Utilized histogram specification with a reference cumulative distribution function (CDF).
Estimated shape and scale parameters from reference echo-textures to create a prototype parameter set.
Constructed a reference CDF using the prototype parameters and a distribution function.
Employed the reference CDF as a transfer function for standardizing input ultrasound images.

Main Results:

The proposed method demonstrated superior image standardization compared to linear scaling.
The approach proved invariant to variations in scanning device gain.
Evaluated using four measures across three datasets, showing enhanced efficiency and stability.

Conclusions:

The novel histogram specification technique offers effective ultrasound image standardization.
This method preserves inherent echo-texture characteristics, unlike linear scaling.
The approach provides a robust solution for consistent ultrasound image quality.