463-01-012 ISMRM Abstract

Deep Learning and Compressed Sensing for Fast Sampling: A Comparative Study in Rabbit Knee MRI

Primary: Musculoskeletal - Bone

Secondary: Acquisition & Reconstruction - Image Reconstruction: AI

463-01-012 · Data-Driven Reconstruction: From Networks to Clinical Practice · Tuesday, 12 May, 8:20 AM–9:15 AM · Digital Posters Row D

Keywords: Animals Compressed Sensing Deep learning reconstruction Knee

Accepted

Yang Qu ¹, Xiance Zhao², Yuehua Li¹

¹Department of Radiology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China

²Clinical and Technical Support, Philips Healthcare (Beijing), Beijing, China

Presenting Author: Yang Qu

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References

1. Pezzotti N, de Weerdt E, Yousefi S, et al. Adaptive-CS-Net: FastMRI with Adaptive Intelligence. arXiv. 2019;(arXiv:1912.12259). Accessed October 31, 2022. http://arxiv.org/abs/1912.12259

2. Pezzotti N, Yousefi S, Elmahdy MS, et al. An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction. IEEE Access. 2020;8:204825-204838. doi:10.1109/ACCESS.2020.3034287 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/463-01-012