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Abstract #2859

Novel Sequence for Improving Detection and Identification of Brain Tumor Lesions

Jinghua Wang1, Mary Gaskill-Shipley1, Michael Lamba2, Kim M Cecil1, Lily Wang1, Bin Zhang3, Hui Wang4, Lois Carpenter1, and Achala Vagal1

1Radiology, University of Cincinnati, Cincinnati, OH, United States, 2Radiation Oncology, University of Cincinnati, Cincinnati, OH, United States, 3Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 4Philips, Cincinnati, OH, United States

Early detection and accurate identification of lesions are very important for diagnosis and treatment of brain tumors. Contrast-enhanced (CE) magnetic resonance imaging (MRI) is the gold standard method for the non-invasive identification of primary brain tumors and cerebral metastases. In clinical practice, current CE MRI protocols are acquired with an isotropic resolution around 1.0 millimeter at 3.0 T that is limited by tumor-tissue contrast to noise efficiency. In this investigation, our purpose was to improve the efficiency by incorporating inversion recovery prepared spoiled gradient recalled (IR-GRE) sequence with hybrid k-space and variable flip angles to reach submillimeter resolution in clinical acceptable scan time.

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