Abstract #5219

Highly Accelerated Inner-volume selective 3D GRASE CEST Imaging with Temporal Random Walk Sampling – Application to a Brain Tumor Patient at 3 T

Hahnsung Kim^1,2, Suhyung Park^3,4, Jinsuh Kim², Julius Juhyun Chung¹, Ranliang Hu², David A. Feinberg^5,6, and Phillip Zhe Sun^1,2,7

¹Emory National Primate Research Center, Emory University, Atlanta, GA, United States, ²Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, ³Department of Computer Engineering, Chonnam National University, Gwangju, Korea, Republic of, ⁴Department of ICT Convergence System Engineering, Chonnam National University, Gwangju, Korea, Republic of, ⁵Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States, ⁶Advanced MRI Technologies, Sebastopol, CA, United States, ⁷Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, United States

Synopsis

Keywords: Data Acquisition, Acquisition Methods

Motivation: To overcome the limitations of traditional 2D CEST imaging, such as partial volume effects and limited spatial coverage, which hinder accurate tumor boundary delineation.

Goal(s): To develop and validate a 3D GRASE CEST imaging sequence with inner-volume selection for enhanced spatial resolution and tumor visualization.

Approach: The proposed method integrates variable-density CAIPI sampling and a temporal random walk pattern, tested through phantom and patient studies to ensure effective imaging protocols.

Results: The 3D GRASE CEST sequence achieved consistent CEST effects across partitions, with reliable MTR asymmetric values that distinguish tumor from normal tissue.

Impact: This technique offers a promising tool for efficient, high-resolution CEST imaging, with potential applications in clinical neuro-oncology for precise tumor assessment.

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