Abstract #1807

Optimization of k-space Filtering for Compensating T2 Blurring in 3D ASL-MRI: Application to GBM

Yiming Wang¹, Limin Zhou¹, Joshua S. Greer^1,2, Edward Pan^3,4,5, Marco C. Pinho^1,6, Joseph A. Maldjian^1,6, and Ananth J. Madhuranthakam^1,6

¹Radiology, UT Southwestern Medical Center, Dallas, TX, United States, ²Pediatrics, UT Southwestern Medical Center, Dallas, TX, United States, ³Neurology and Neurotherapeutics, UT Southwestern Medical Center, Dallas, TX, United States, ⁴Neurological Surgery, UT Southwestern Medical Center, Dallas, TX, United States, ⁵Harold C. Simmons Cancer Center, UT Southwestern Medical Center, Dallas, TX, United States, ⁶Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States

3D arterial spin labeled (ASL) MRI using turbo spin echo (TSE) acquisition suffers from image blurring, due to T₂ decay along the echo train. In this study, a k-space filtering method proposed earlier was optimized to compensate T₂ blurring, incorporating ASL T₂ measurements in healthy volunteers for T₂ decay estimation. This method was then applied to 3D ASL images acquired in healthy volunteers and patients with glioblastoma (GBM) from an ongoing clinical trial. Results showed reduced image blurring in both volunteers and patients.

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