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Abstract #4981

High-temporal-resolution dynamic EPI at 9.4T for monitoring renal oxygenation in rats: Responses to hyperoxia and hypoxia

Songsong Sun1,2, Kaixuan Zhao3,4,5, Quan Tao2,6, Qiugen Hu7, and Yanqiu Feng1,2,6,7
1School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 2Guangdong Provincial Key Laboratory of Medical Image Processing & Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China, 3Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China, 4Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China, 5Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China, 6Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou, China, 7Department of Radiology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China

Synopsis

Keywords: Kidney, Oxygenation, EPI

Motivation: Rapid and dynamic MRI is essential to capture changes in the renal blood oxygen system during stepwise oxygen stimulation.

Goal(s): In order to monitor the renal oxygenation various with high-temporal-resolution dynamic imaging by echo planar imaging (EPI) readout.

Approach: The dynamic EPI with a 1-second temporal resolution was used to monitor the T2*-weighted signal of the rat kidney under hypoxic and hyperoxic stimulation, applying a second-order system step response model to fit the T2*-weighted signal intensity-time curves.

Results: Dynamic EPI has higher temporal resolution and higher model parameter maps quality at the same image resolution.

Impact: Dynamic EPI can effectively monitor the changes of renal oxygenation and may be beneficial for renal injury detection.

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