[Complex evaluation of film mammography imaging systems. I. Methodological principles]

Area of Science:

• Medical Imaging
• Radiology
• Image Quality Assessment

Background:

• Film mammography systems encompass a wide range of technical parameters.
• Evaluating these systems requires a comprehensive approach considering all parameters.
• The signal-to-noise ratio (SNR) is a key metric for assessing imaging system performance.

Purpose of the Study:

• To propose a standardized method for evaluating film mammography systems.
• To address the challenges in defining and calculating signal-to-noise ratio (SNR) and noise energy.
• To introduce the noise-equivalent pass band as an equivalent measure for assessing imaging quality.

Main Methods:

• Utilizing a defined signal-to-noise ratio (SNR) that incorporates all technical parameters.
• Employing the noise-equivalent pass band of the human visual system for different detail sizes as an equivalent measure.
• Depicting the SNR as a matrix in an isometric plot to visualize imaging qualities.

Main Results:

• The proposed signal-to-noise ratio (SNR) matrix effectively demonstrates the imaging qualities of mammography systems.
• The method allows for the deduction of information theory-based quality definitions, such as information quality and capacity.
• The findings enable a direct comparison between film mammography systems and digital storage media.

Conclusions:

• The developed signal-to-noise ratio (SNR) matrix provides a robust tool for comprehensive film mammography system evaluation.
• The noise-equivalent pass band offers a practical alternative for assessing imaging performance.
• This approach facilitates objective comparisons and aids in understanding the information capacity of imaging systems.