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特刊介绍:颂扬数字断层合成技术——过去、现在与未来

Introduction to the Special Issue: Celebrating Digital Tomosynthesis-Past, Present, and Future.

作者信息

Glick Stephen J, Reiser Ingrid S, Goodsitt Mitchell M, Maidment Andrew D A, Sabol John M

机构信息

U.S. Food and Drug Administration, Center for Devices and Radiological Health, Office of Science and Engineering Laboratories, Division of Imaging, Diagnostics, and Software Reliability (DIDSR), Silver Spring, Maryland, United States.

University of Chicago, Committee on Medical Physics, Department of Radiology, Chicago, Illinois, United States.

出版信息

J Med Imaging (Bellingham). 2025 Jan;12(Suppl 1):S13001. doi: 10.1117/1.JMI.12.S1.S13001. Epub 2025 May 29.

DOI:10.1117/1.JMI.12.S1.S13001
PMID:40453826
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12120691/
Abstract

JMI guest editors present a diverse collection of research and perspectives in a special issue celebrating the past, present, and future of digital tomosynthesisan imaging modality that continues to grow in both clinical relevance and technical sophistication.

摘要

《医学影像信息学杂志》的客座编辑在一期特刊中展示了一系列多样的研究和观点,该特刊颂扬了数字断层合成成像技术的过去、现在和未来,这种成像方式在临床相关性和技术复杂性方面都在不断发展。

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本文引用的文献

1
Dependence of observer task on conclusions drawn from trials evaluating the performance of full-field digital mammography and digital breast tomosynthesis.观察者任务对从评估全视野数字乳腺摄影和数字乳腺断层合成性能的试验得出的结论的依赖性。
J Med Imaging (Bellingham). 2025 Jan;12(Suppl 1):S13014. doi: 10.1117/1.JMI.12.S1.S13014. Epub 2025 May 19.
2
Accurate volume image reconstruction for digital breast tomosynthesis with directional-gradient and pixel sparsity regularization.基于方向梯度和像素稀疏正则化的数字乳腺断层合成精确体积图像重建
J Med Imaging (Bellingham). 2025 Jan;12(Suppl 1):S13013. doi: 10.1117/1.JMI.12.S1.S13013. Epub 2025 Mar 7.
3
Evolution of tomosynthesis.断层合成的演变。
J Med Imaging (Bellingham). 2025 Jan;12(Suppl 1):S13012. doi: 10.1117/1.JMI.12.S1.S13012. Epub 2025 Feb 12.
4
Comparing synthetic mammograms based on wide-angle digital breast tomosynthesis with digital mammograms.基于广角数字乳腺断层合成技术的合成乳腺钼靶图像与数字乳腺钼靶图像的比较。
J Med Imaging (Bellingham). 2025 Jan;12(Suppl 1):S13011. doi: 10.1117/1.JMI.12.S1.S13011. Epub 2025 Jan 20.
5
Digital breast tomosynthesis system concept addressing the needs in breast cancer screening and diagnosis.数字乳腺断层合成系统概念满足乳腺癌筛查和诊断需求。
J Med Imaging (Bellingham). 2025 Jan;12(Suppl 1):S13010. doi: 10.1117/1.JMI.12.S1.S13010. Epub 2024 Dec 17.
6
Evaluation of the flying focal spot technology in a wide-angle digital breast tomosynthesis system.广角数字乳腺断层合成系统中飞行焦点技术的评估
J Med Imaging (Bellingham). 2025 Jan;12(Suppl 1):S13009. doi: 10.1117/1.JMI.12.S1.S13009. Epub 2024 Dec 4.
7
Scatter correction for contrast-enhanced digital breast tomosynthesis with a dual-layer detector.基于双层探测器的对比增强数字化乳腺断层合成的散射校正
J Med Imaging (Bellingham). 2025 Jan;12(Suppl 1):S13008. doi: 10.1117/1.JMI.12.S1.S13008. Epub 2024 Dec 4.
8
Lung nodule localization and size estimation on chest tomosynthesis.胸部断层合成成像中肺结节的定位与大小估计
J Med Imaging (Bellingham). 2025 Jan;12(Suppl 1):S13007. doi: 10.1117/1.JMI.12.S1.S13007. Epub 2024 Oct 28.
9
Our journey toward implementation of digital breast tomosynthesis in breast cancer screening: the Malmö Breast Tomosynthesis Screening Project.我们在乳腺癌筛查中实施数字乳腺断层合成技术的历程:马尔默乳腺断层合成筛查项目。
J Med Imaging (Bellingham). 2025 Jan;12(Suppl 1):S13006. doi: 10.1117/1.JMI.12.S1.S13006. Epub 2024 Oct 24.
10
Automated assessment of task-based performance of digital mammography and tomosynthesis systems using an anthropomorphic breast phantom and deep learning-based scoring.使用拟人化乳房模型和基于深度学习的评分对数字乳腺摄影和断层合成系统的基于任务的性能进行自动评估。
J Med Imaging (Bellingham). 2025 Jan;12(Suppl 1):S13005. doi: 10.1117/1.JMI.12.S1.S13005. Epub 2024 Oct 15.