Phantom-based study exploring the effects of different scatter correction approaches on the reconstructed images generated by contrast-enhanced stationary digital breast tomosynthesis
Author:
Affiliation:
1. University of North Carolina at Chapel Hill, UNC/NCSU Joint Department of Biomedical Engineering, Ch
2. University of North Carolina at Chapel Hill, Department of Physics and Astronomy, Chapel Hill, North
Publisher
SPIE-Intl Soc Optical Eng
Subject
Radiology Nuclear Medicine and imaging
Reference41 articles.
1. Comparison of Tomosynthesis Plus Digital Mammography and Digital Mammography Alone for Breast Cancer Screening
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4. Screening Outcomes Following Implementation of Digital Breast Tomosynthesis in a General-Population Screening Program
5. Overview of the evidence on digital breast tomosynthesis in breast cancer detection
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Deep-learning convolutional neural network-based scatter correction for contrast enhanced digital breast tomosynthesis in both cranio-caudal and mediolateral-oblique views;Journal of Medical Imaging;2023-03-15
2. Variation in digital breast tomosynthesis image quality at differing heights above the detector;Journal of Medical Radiation Sciences;2021-12-27
3. Visualizing microcalcifications in lumpectomy specimens: an exploration into the clinical potential of carbon nanotube-enabled stationary digital breast tomosynthesis;Biomedical Physics & Engineering Express;2019-07-25
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