464-06-012 ISMRM Abstract

Deep learning-based phase correction improves DWI and ADC for bladder imaging

Primary: Body - Urogenital

Secondary: Diffusion - Diffusion Reconstruction

464-06-012 · Novel Diffusion and Motion Correction in Body MRI · Tuesday, 12 May, 4:55 PM–5:50 PM · Digital Posters Row E

Keywords: Bladder imaging Deep learning-based phase correction

Accepted

Shu Zhang¹, Xinzeng Wang², Patricia Lan³, Ion Codreanu¹, Ruiyang Zhao², Arnaud Guidon⁴, Diego Martin¹, Nakul Gupta ⁵

¹Department of Radiology, Houston Methodist Research Institute, Houston, United States of America

²GE Healthcare, Houston, United States of America

³GE HealthCare, Menlo Park, United States of America

⁴GE HealthCare, San Ramon, United States of America

⁵Department of Radiology, Houston Methodist Hospital, Houston, United States of America

Presenting Author: Nakul Gupta

Synopsis

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References

1. Tang L, Zhou XJ. Diffusion MRI of cancer: From low to high b-values. J Magn Reson Imaging. 2019 Jan;49(1):23-40. doi: 10.1002/jmri.26293. [doi]

2. Wang X, Litwiller D, Guido A, et al. Robust complex averaging for diffusion weighted imaging. 2023 ISMRM Annual Meeting:3963, Toronto, Canada.

3. Wang X, Lan P, Guidon A. DL-based phase correction enables robust real diffusion-weighted MRI with increased diffusion contrast. 2024 ISMRM Annual Meeting:2414, Singapore.

4. Lebel M. Performance characterization of a novel deep learning-based MR image reconstruction pipeline. 2020. arXiv:2008.06559.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/464-06-012