Abstract #3632

The feasibility of contrast-enhanced 3D T1WI reconstructed with Compressed SENSE Artificial Intelligence in evaluation of brain metastases

Linna Li¹, Zhongping Chen¹, Renjie Lu², Xin He¹, Ying Qiu¹, Dandan Guo¹, Hongkun Shi¹, Dan Tong¹, Yi Zhu³, and Ke Jiang³

¹Radiology, The First Hospital of Jilin Universty, Changchun, China, ²Ultrasound, The First Hospital of Jilin Universty, Changchun, China, ³Philips Healthcare, Beijing, China

Synopsis

Contrast-enhanced (CE) 3D T1-weighted scanning has been used more frequently with better spatial resolution and thinner section than 2D T1-weighted images for early detection and response assessment of brain metastases. To further improve the image scanning sequence, a new reconstruction algorithm, Compressed-SENSE Artificial Intelligence (CS-AI) was applied experimentally to achieve a balance between shortened scan time and improved image quality. This study aims to investigate the feasibility of contrast-enhanced 3D T1-weighted MRI reconstructed with Compressed SENSE Artificial Intelligence (CS-AI) by comparing with 3D T1-weighted images reconstructed with Compressed SENSE(CS), and to find out the optimal acceleration factor(AF).

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