Abstract #4446

Improvement of Glutamate Chemical Exchange Saturation Transfer (GluCEST) Imaging in a Rat Model of Epileptic Seizure Using Retrospective Motion Correction

Dong-Hoon Lee¹, Do-Wan Lee², Jae-Im kwon³, Chul-Woong Woo³, Sang-Tae Kim³, Jin Seong Lee⁴, Choong Gon Choi⁴, Kyung Won Kim⁴, Jeong Kon Kim⁴, and Dong-Cheol Woo^3,5

¹Faculty of Health Sciences and Brain & Mind Centre, The University of Sydney, Sydney, Australia, ²Center for Bioimaging of New Drug Development, and MR Core Laboratory, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, ³MR Core Laboratory, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, ⁴Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, ⁵Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of

GluCEST is a novel molecular MR imaging technique to detect glutamate in the brain parenchyma by measuring the exchange of glutamate amine protons with bulk water. However, a disadvantage of CEST imaging is the relatively long scan time required to collect the data while varying the resonance frequency around the water. In this abstract, we describe the application of a retrospective motion correction approach using a gradient-based motion correction (GradMC) algorithm to CEST data for investigating the feasibility of motion correction, using an epileptic seizure rat model with head motion. Our results clearly show that the GradMC can be used in CEST imaging to efficiently correct for motion.

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