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Inverse filtering approach to measure directional in-plane modulation transfer function using a sphere phantom for a
Optics Express
|August 10, 2017
Summary
This study introduces a novel method for measuring the directional in-plane modulation transfer function (MTF) in digital tomosynthesis systems using a sphere phantom. The method reliably estimates spatial resolution, even with the phantom
Area of Science:
- Medical Imaging
- Radiology
- Image Quality Assessment
Background:
- Digital tomosynthesis (DT) systems require accurate spatial resolution assessment.
- Traditional methods for measuring in-plane modulation transfer function (MTF) can be complex and prone to errors.
- Sphere phantoms have been considered unsuitable for MTF measurements in DT due to anisotropic characteristics.
Purpose of the Study:
- To propose and validate a method for measuring the directional in-plane MTF of digital tomosynthesis systems.
- To assess the spatial resolution of in-plane images reconstructed from DT data.
- To demonstrate the suitability of a sphere phantom for MTF measurements in DT.
Main Methods:
- Generated projection data of a sphere phantom within a limited 40° acquisition range.
- Reconstructed phantom data using the filtered backprojection (FBP) algorithm.
- Calculated in-plane MTF by dividing the Fourier transform of the reconstructed phantom by that of an ideal phantom, with error reduction techniques applied.
Main Results:
- The proposed method demonstrated reliable performance in estimating the directional in-plane MTF.
- Quantitative evaluation showed good agreement between estimated and ideal MTF values at different frequencies and directions.
- The sphere phantom proved suitable for measuring directional in-plane MTF in DT systems.
Conclusions:
- The developed method provides a reliable approach for assessing directional in-plane MTF in digital tomosynthesis.
- The study validates the use of sphere phantoms for this specific measurement, overcoming previous limitations.
- This technique contributes to improved image quality assessment in digital tomosynthesis imaging.

