Abstract #2449

De-streaking effect Deep Learning Reconstruction in free-breathing dynamic contrast enhanced Liver MRI

Eun Joo Park¹, Yedaun Lee¹, Ho Joon Lee¹, Jisook Yi¹, Joonsung Lee², Xinzeng Wang³, and Arnaud Guidon⁴

¹Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea, Republic of, ²GE Healthcare, Seoul, Korea, Republic of, ³GE Healthcare, Houston, TX, United States, ⁴GE Healthcare, Boston, MA, United States

Synopsis

Keywords: Liver, LiverIn dynamic contrast enhanced (DCE) liver MRI, fast image acquisition with free breathing comes in expense of artifacts and noise, the most notably streak artifacts. In our study, we evaluated de-streaking effect and image quality of free-breathing stack of star liver MRI acquisition with deep learning reconstruction. Application of deep learning reconstruction (DLR) provides improved image quality by removing streak artifact and noise in liver MR images.

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