  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.
