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Abstract #5224

Prospective comparison of Image quality and diagnostic performance of focal liver lesions between 0.55T MRI and conventional 1.5T MRI

Ke Wang1, Wei Li1, Xiang Wang1, Xiaoming Liu2, Jinxia Zhu2, Xiaoye Wang3, Kun Zhou4, Marcel Dominik Nickel5, and Jianxing Qiu1
1Radiology, Peking University First Hospital, Beijing, China, 2MR Research Collaboration, Siemens Healthineers, Beijing, China, 3MR Clinical Marketing, Siemens Healthineers, Beijing, China, 4Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 5MR Application Predevelopment, Siemens Healthineers AG, Forchheim, Germany

Synopsis

Keywords: Machine Learning/Artificial Intelligence, Low-Field MRI, Liver MRI; 0.55T MRI; Deep Learning; Diagnostic performance

Motivation: MRI is crucial for diagnosing liver lesions. Improved MRI tools, such as 0.55T MRI with deep learning (DL) reconstruction, are anticipated to be applied and validated.

Goal(s): We aims to compare the image quality and diagnostic performance with/without DL at 0.55T and 1.5T MRI for liver lesions.

Approach: We prospectively collected MRI data from 12 patients, non-contrast enhancement at 0.55T with/without using DL and at 1.5T without using DL-based reconstruction, using enhanced 1.5T scans as the reference standard.

Results: 0.55T-DL images demonstrated Signal-to-Noise Ratio (SNR) and subjective ratings comparable to or better than those of 1.5T-nonDL, with no significant difference in diagnostic performance.

Impact: Fast 0.55T-DL MRI can enhance the detection and diagnosis of focal liver lesions in the upper abdomen.

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