Title Page
Abstract
Contents
Introduction 10
Materials and Methods 11
Results 15
Discussion 17
Conclusion 20
References 21
국문요약 41
Table 1. Specifications of the prototype digital breast tomosynthesis system 25
Table 2. Changes in lesion detectability according to the angular range among different breast densities and thicknesses 26
Table 3. Changes in contrast-to-noise ratio and signal-to-noise ratio according to the angular range among different breast densities and thicknesses 29
Table 4. Inter-reader agreement among the three readers and the intra-reader agreement between the two datasets 30
Figure 1. Modular DBT™ phantom for breast tomosynthesis (A) and the location of test objects in the image quality module (B). 31
Figure 2. Overview of ten different modular breast phantom combinations. 32
Figure 3. Overall picture of the prototype DBT system (A, B) and examples of acquiring projection images of a thick-dense phantom combination with central lesions (C) and thin-fatty phantom composition with tube-side lesions (D). 33
Figure 4. Example of regions of interest placed on a representative slice image for measuring contrast-to-noise and signal-to-noise ratios. 35
Figure 5. Average scores from the three independent reviewers assessing masses, speckles, and fibers according to different angular ranges in thin-fatty (A), thick-fatty (B), thin-dense (C), and thick-dense (D) combinations. 36
Figure 6. Comparison of reconstructed digital breast tomosynthesis images acquired with different angular ranges for a thick-fatty phantom combination having detector-side lesions. 38
Figure 7. Reconstructed digital breast tomosynthesis image of a thin-dense phantom combination having tube-side lesions. 40