360-05-012 ISMRM Abstract

Reduction of noise and artifacts in MUSE breast DWI using deep learning-based phase correction: A phantom and reader study

Primary: Body - Breast

Secondary: Diffusion - Diffusion Reconstruction

360-05-012 · Acquisition, Reconstruction, and Analysis · Monday, 11 May, 5:05 PM–6:00 PM · Digital Posters Row A

Keywords: Breast Deep learning reconstruction Diffusion-weighted MRI Denoising ADC

Accepted

Pingni Wang¹, Amie Lee², Lisa Wilmes², Patricia Lan³, Xinzeng Wang ⁴, Arnaud Guidon⁵, Jessica Hayward², Maggie Chung², Shinn-Huey Chou², Tatiana Kelil², Connie Lu², Nola Hylton², Bonnie Joe²

¹Research & Scientific Affairs, GE HealthCare, Los Angeles, United States of America

²Department of Radiology and Biomedical Imaging, University Of California, San Francisco (UCSF), United States of America

³MR Clinical Solutions & Research Collaborations, GE HealthCare, Menlo Park, United States of America

⁴MR Clinical Solutions & Research Collaborations, GE Healthcare, Houston, United States of America

⁵MR Clinical Solutions & Research Collaborations, GE HealthCare, San Ramon, United States of America

Presenting Author: Xinzeng Wang

Synopsis

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References

1. https://doi.org/10.58530/2023/3963 [doi]

2. https://doi.org/10.48550/arXiv.2008.06559 [doi]

3. https://doi.org/10.1016/j.ejrad.2025.112419 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/360-05-012