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Abstract #3181

Using the Artificial Intelligence Based Compressed SENSE Technology in Acute Cerebral Infarction

Cong Ning1, Yue Ma1, Di Yu1, Dan Tong1, Yi Zhu2, and Ke Jiang2
1Department of Radiology, The first hospital of jilin university, Changchun,Jilin, China, 2Philips Healthcare, Beijing, China


MRI has advantages in detecting acute ischemia and describing the core volume of the infarct without radiation, but the long scanning time affects clinical use. Compressed sense combined with artificial intelligence (CS-AI) technology accelerates the acquisition of imaging. This study aims to use the CS-AI technique to accelerate common sequences of Acute cerebral infarction and investigate the effect of different acceleration factors on image quality and diagnosis. The results show that CS-AI reconstruction scans reduce scanning time while maintaining image quality compared to conventional SENSE.

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