Abstract #4137

Quadruple arterial phase dynamic EOB imaging using a novel DL reconstruction visualizing aortic wax and wane phenomenon: preliminary results

Keisuke Sato¹, Shinji Tanaka², Ryo Murayama², Yukihisa Takayama¹, Atsushi Nozaki³, Xucheng Zhu⁴, Ty Cashen⁵, Arnaud Guidon⁶, Tetsuya Wakayama³, and Kengo Yoshimitsu¹

¹Radiology, Fukuoka University, Fukuoka prefecture, Japan, ²Fukuoka University, Fukuoka prefecture, Japan, ³GE HealthCare, Hino, Japan, Tokyo prefecture, Japan, ⁴GE HealthCare, Menlo Park, CA, USA, Menlo Park, CA, United States, ⁵GE Healthcare, Madison, WI, USA, Madison, WI, United States, ⁶Healthcare, Boston, MA, USA, Boston, MA, United States

Synopsis

Keywords: AI/ML Image Reconstruction, AI/ML Image Reconstruction, Sonic DL, AIR Recon DL

Motivation: Multi-arterial phase dynamic contrast enhanced imaging (DCE) is critical for assessing liver lesions. A novel deep learning reconstruction technology, DL Speed (DLS) offers the potential to further enhance these images with minimal degradation from under-sampled k-space data.

Goal(s): To compare DLS-applied high-resolution quadruple arterial phase DCE (DLS-DCE) with conventional triple-phase DCE (conv-DCE) in liver MRI.

Approach: In a study involving 40 patients, DLS-DCE and conv-DCE were assessed qualitatively, focusing on image quality and the aortic wax-and-wane (W&W) phenomenon.

Results: DLS-DCE provided comparable image quality to conv-DCE but depicted the W&W phenomenon more frequently, indicating enhanced temporal resolution.

Impact: DLS-DCE provides high quality liver DCE images with higher temporal resolution, revealing detailed hemodynamic change of the liver, features like the aortic wax-and-wane phenomenon. This advancement would help radiologists assess liver lesions more accurately, benefitting clinical decision-making and patient outcomes.

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