Abstract #1265

Quantitative Relaxometry Metrics for Normal and Brain Tumor Tissues using MR Fingerprinting and Magnetic Resonance Image Compilation Methods

Amaresha Shridhar Konar¹, Akash Deelip Shah², Abhay Dave³, Suchandrima Banerjee⁴, Maggie Fung⁵, Vaios Hatzoglou², and Amita Shukla-Dave^1,2

¹Medical Physics, Memorial Sloan Kettering Cancer Center, New York City, NY, United States, ²Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, ³Touro College of Osteopathic Medicine, New York, NY, United States, ⁴GE Healthcare, New York, NY, United States, ⁵GE Healthcare, New York City, NY, United States

Synopsis

This work aims to assess the relaxometry maps generated using MRF and MAGiC in brain tumor (n=27). A total of 14 brain tumor tissue regions (Pre-Tx n=5, Post-Tx n=9) were used for comparison. The T₁ and T₂ values measured at tumor and normal appearing (contralateral) region showed significant difference in both MAGiC and MRF generated maps. The results show that the relaxometry values estimated using MRF and MAGiC methods can differentiate Tumor and normal appearing tissues. The utility of this technique needs to be further explored in larger sample studies and it could be further extendable to classify tumor types.

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