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Abstract #3555

Tailored Synthetic and Non-Synthetic (SNS) Optimization for pediatric neuroimaging

Tiago Timoteo Fernandes1, Enlin Qian2, Pavan Poojar3, Rita G. Nunes1, and Sairam Geethanath3
1Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico – Universidade de Lisboa, Lisboa, Portugal, 2Columbia Magnetic Resonance Research Center, Columbia University, New York, NY, United States, 3Accessible Magnetic Resonance Laboratory, Biomedical Imaging and Engineering Institute, Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States

Synopsis

Keywords: MR Fingerprinting, MR Fingerprinting, Synthetic Imaging; Non-synthetic Imaging;

Motivation: Quantitative MR (qMR) relaxometry allows monitoring of pediatric neuropathology. However, acquiring qualitative and qMR imaging is time-consuming and challenging, especially in pediatric patients.

Goal(s): To design a pulse sequence allowing both quantitative and non-synthetic weighted imaging, addressing the need for acceleration.

Approach: MR Fingerprinting (MRF) is the gold standard for simultaneous qMR mapping but does not provide non-synthetic images. We compare MRF versions to sequences designed using the 1-Look-Ahead approach to optimize gray (GM) to white matter (WM) contrast, including periods of stable signal for non-synthetic imaging.

Results: A promising signal control enabling quantitative mapping and good-quality weighted in vivo images.

Impact: Demonstration of the feasibility of controlled contrast and signal stability for quantitative and qualitative Magnetic Resonance Fingerprinting using one-look ahead (1LA) flip angle design for accelerated scanning in the pediatric brain, increasing quality in T2-weighted images.

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