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Dual-Pathway Sequences for MR Thermometry: When and Where to Use Them
Journal article   Open access   Peer reviewed

Dual-Pathway Sequences for MR Thermometry: When and Where to Use Them

Pelin Aksit Ciris, Cheng-Chieh Cheng, Chang-Sheng Mei, Lawrence P. Panych and Bruno Madore
Magnetic resonance in medicine, Vol.77(3), pp.1193-1200
03-2017
PMCID: PMC5018245
PMID: 26968318

Abstract

Life Sciences & Biomedicine Radiology, Nuclear Medicine & Medical Imaging Science & Technology
Purpose: Dual-pathway sequences have been proposed to help improve the temperature-to-noise ratio (TNR) in MR thermometry. The present work establishes how much of an improvement these so-called "PSIF-FISP" sequences may bring in various organs and tissues. Methods: Simulations and TNR calculations were validated against analytical equations, phantom, abdomen, and brain scans. Relative TNRs for PSIF-FISP, as compared to a dualFISP reference standard, were calculated for flip angle (FA) = 1 to 85 degrees and repetition time (TR) = 6 to 60 ms, for gray matter, white matter, cervix, endometrium, myometrium, prostate, kidney medulla and cortex, bone marrow, pancreas, spleen, muscle, and liver tissues. Results: PSIF-FISP was TNR superior in the kidney, pelvis, spleen, or gray matter at most tested TR and FA settings, and benefits increased at shorter TRs. PSIF-FISP was TNR superior in other tissues, e. g., liver, muscle, pancreas, for only short TR settings (20 ms or less). The TNR benefits of PSIF-FISP increased slightly with FA, and strongly with decreasing TR. Up to two-to three-fold reductions in TR with 20% TNR gains were achievable. In any given tissue, TNR performance is expected to further improve with heating, due to changes in relaxation rates. Conclusion: Dual-pathway PSIF-FISP can improve TNR and acquisition speed over standard gradient-recalled echo sequences, but optimal acquisition parameters are tissue dependent. (C) 2016 International Society for Magnetic Resonance in Medicine
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https://www.ncbi.nlm.nih.gov/pmc/articles/5018245View
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