FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging

FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging
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DOI:
10.48550/arxiv.2304.09254
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发表时间:
2023-04
期刊:
ArXiv
影响因子:
--
通讯作者:
R. Tibrewala;T. Dutt;A. Tong;L. Ginocchio;M. Keerthivasan;S. Baete;S. Chopra;Y. Lui;D. Sodickson;H. Chandarana;Patricia M. Johnson
R. Tibrewala;T. Dutt;A. Tong;L. Ginocchio;M. Keerthivasan;S. Baete;S. Chopra;Y. Lui;D. Sodickson;H. Chandarana;Patricia M. Johnson
中科院分区:
其他
文献类型:
--
作者:
R. Tibrewala;T. Dutt;A. Tong;L. Ginocchio;M. Keerthivasan;S. Baete;S. Chopra;Y. Lui;D. Sodickson;H. Chandarana;Patricia M. Johnson

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fastMRI大脑和膝关节数据集在探索重建方法方面取得了重大进展,这些重建方法通过新颖的临床相关重建方法提高了磁共振成像(MRI)的速度和图像质量。在这项研究中,我们描述了2023年4月fastMRI数据集的扩展,以包括在临床人群中获得的双参数前列腺MRI数据。该数据集包括原始k空间和重建图像的T2加权和扩散加权序列沿着与切片水平的标签,表明前列腺癌的存在和等级。与fastMRI的情况一样,增加对原始前列腺MRI数据的可访问性将进一步促进MR图像重建和评价的研究,更大的目标是提高MRI在前列腺癌检测和评价中的实用性。该数据集可在https://fastmri.med.nyu.edu上获得。
The fastMRI brain and knee dataset has enabled significant advances in exploring reconstruction methods for improving speed and image quality for Magnetic Resonance Imaging (MRI) via novel, clinically relevant reconstruction approaches. In this study, we describe the April 2023 expansion of the fastMRI dataset to include biparametric prostate MRI data acquired on a clinical population. The dataset consists of raw k-space and reconstructed images for T2-weighted and diffusion-weighted sequences along with slice-level labels that indicate the presence and grade of prostate cancer. As has been the case with fastMRI, increasing accessibility to raw prostate MRI data will further facilitate research in MR image reconstruction and evaluation with the larger goal of improving the utility of MRI for prostate cancer detection and evaluation. The dataset is available at https://fastmri.med.nyu.edu.