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快速磁共振成像乳腺:一个公开可用的乳腺动态对比增强磁共振成像的径向k空间数据集。

FastMRI Breast: A Publicly Available Radial k-Space Dataset of Breast Dynamic Contrast-enhanced MRI.

作者信息

Solomon Eddy, Johnson Patricia M, Tan Zhengguo, Tibrewala Radhika, Lui Yvonne W, Knoll Florian, Moy Linda, Kim Sungheon Gene, Heacock Laura

机构信息

From the Department of Radiology, Weill Cornell Medical College, Cornell University, MRI Research Institute, 407 E 61st St, New York, NY 10065 (E.S., S.G.K.); Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY (E.S., P.M.J., R.T., Y.W.L., F.K., L.M., S.G.K., L.H.); and Department Artificial Intelligence in Biomedical Engineering, University Erlangen-Nuremberg, Erlangen, Germany (Z.T., F.K.).

出版信息

Radiol Artif Intell. 2025 Jan;7(1):e240345. doi: 10.1148/ryai.240345.

DOI:10.1148/ryai.240345
PMID:39772976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11791504/
Abstract

The fastMRI breast dataset is the first large-scale dataset of radial k-space and Digital Imaging and Communications in Medicine data for breast dynamic contrast-enhanced MRI with case-level labels, and its public availability aims to advance fast and quantitative machine learning research.

摘要

fastMRI乳腺数据集是首个包含病例级标签的用于乳腺动态对比增强磁共振成像的径向k空间和医学数字成像与通信数据的大规模数据集,其公开旨在推动快速和定量机器学习研究。

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本文引用的文献

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FastMRI Prostate: A public, biparametric MRI dataset to advance machine learning for prostate cancer imaging.FastMRI 前列腺:一个公共的、双参数的 MRI 数据集,用于推进前列腺癌成像的机器学习。
Sci Data. 2024 Apr 20;11(1):404. doi: 10.1038/s41597-024-03252-w.
2
Sharing Data Is Essential for the Future of AI in Medical Imaging.数据共享对于医学影像人工智能的未来至关重要。
Radiol Artif Intell. 2024 Jan;6(1):e230337. doi: 10.1148/ryai.230337.
3
The ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): Results from the OSIPI-Dynamic Contrast-Enhanced challenge.ISMRM 灌注成像开放科学倡议(OSIPI):OSIPI-动态对比增强挑战赛的结果。
Magn Reson Med. 2024 May;91(5):1803-1821. doi: 10.1002/mrm.29909. Epub 2023 Dec 19.
4
BreastDM: A DCE-MRI dataset for breast tumor image segmentation and classification.BreastDM:用于乳腺肿瘤图像分割和分类的 DCE-MRI 数据集。
Comput Biol Med. 2023 Sep;164:107255. doi: 10.1016/j.compbiomed.2023.107255. Epub 2023 Jul 10.
5
fastMRI+, Clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data.fastMRI+,膝关节和脑部全采样磁共振成像数据的临床病理注释。
Sci Data. 2022 Apr 5;9(1):152. doi: 10.1038/s41597-022-01255-z.
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Implicit data crimes: Machine learning bias arising from misuse of public data.隐性数据犯罪:因公共数据滥用导致的机器学习偏差
Proc Natl Acad Sci U S A. 2022 Mar 29;119(13):e2117203119. doi: 10.1073/pnas.2117203119. Epub 2022 Mar 21.
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The Human Connectome Project: A retrospective.人类连接组计划:回顾。
Neuroimage. 2021 Dec 1;244:118543. doi: 10.1016/j.neuroimage.2021.118543. Epub 2021 Sep 8.
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Preoperative Staging in Breast Cancer: Intraindividual Comparison of Unenhanced MRI Combined With Digital Breast Tomosynthesis and Dynamic Contrast Enhanced-MRI.乳腺癌的术前分期:未增强磁共振成像联合数字乳腺断层合成与动态对比增强磁共振成像的个体内比较
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