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-Dave1,2
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
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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