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Estimation of the two-dimensional presampled modulation transfer function of digital radiography devices using

Jered R Wells¹, James T Dobbins

¹Carl E. Ravin Advanced Imaging Laboratories, Duke University Medical Center, Durham, NC 27705, USA. jered.wells@duke.edu

Medical Physics

|October 9, 2012

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This study introduces a practical method for estimating the 2D modulation transfer function (MTF) of digital imaging systems using widely available 1D test devices. The technique offers accurate and efficient 2D MTF assessment, improving medical imaging quality.

Area of Science:

Medical Imaging Physics
Image Quality Assessment
Digital Radiography

Background:

Current medical imaging device modulation transfer function (MTF) assessment relies on limited 1D measurements.
Existing 2D MTF test devices face challenges in availability, image acquisition, accuracy, and implementation complexity.

Purpose of the Study:

To propose and validate a practical method for accurate 2D MTF estimation using readily available 1D test devices.
To overcome limitations of existing 2D MTF assessment techniques in digital imaging systems.

Main Methods:

Developed theory for adequate sampling of the line spread function at various orientations using 1D test devices.
Implemented and tested methods for slit nonuniformity correction at arbitrary angles.
Validated techniques through experimental measurements on an indirect-detection flat-panel system and simulation experiments.

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Main Results:

The 2D MTF derived from physical measurements showed high precision (0.26% error below cutoff) and approximate circular symmetry.
Slit and edge analyses agreed, but subtle differences above 4 mm⁻¹ revealed radial asymmetry due to pixel aperture, missed by 1D measurements.
Simulation experiments confirmed the ability of both slit- and edge-based measurements to resolve radial asymmetries, with low accuracy errors (0.13%).

Conclusions:

The proposed method using 1D test devices offers a valuable, practical, accurate, and easily implementable approach for 2D MTF estimation.
This technique enhances the assessment of medical imaging system performance.