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C-0906 - Six years of fMRI and MRS phantom data in a 3T clinical scanner: Quality Assurance and Stability

E. Alfayate Sáez1, P. García-Polo2, V. Mato3, R. Garcia-Alvarez4, F. GARCÍA FERNANDEZ1, C. Rojas Obregón5; 1 MADRID/ES 2 Fuenlabrada/Madrid/ES 3 La Coruña/ES 4 Santa Cruz de Tenerife/ES 5 Madrid/ES Type: Scientific Exhibit
Area of Interests: Radiographers, Neuroradiology brain, MR physics
Imaging Techniques: MR, MR-Functional imaging, MR-Spectroscopy
Procedures: Technical aspects, Physics
Special Focus: Quality assurance
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Aims and objectives: A previous study evaluating the quality assurance (QA) and stability of functional MRI (fMRI) and spectroscopy (MRS) data acquired from a phantom (period of 12 months) found no statistical correlation between the registered variables and the quality measures. This work improves that previous study e[...]

Methods and materials: QA scans were performed over a period of 64 months (Feb 2011-Aug 2016) on a GE HDxt 3T MR scanner using an MRS phantom and an 8-channel array brain coil. Phantom temperature together with humidity and temperature of the scanner and the hardware rooms were recorded.   fMRI acquisition protocol: [...]

Results:  Dark grey highlighted measures (Table 1) show meaningful statistical correlations (<0.01) between variables with a high correlation coefficient (>0.5). A strong correlation can be inferred between He (both level and pressure) and SFNR and metabolites concentrations. Fig. 4 and 5 show the[...]

Conclusion: Absolute metabolites concentrations may be biased by Helium Pressure and Level. Signal fluctuation to noise ratio is dependent on Helium Pressure and Level. This study highlights the importance of a correct and stable He Pressure and Level in long-term studies and He role in QA and stability in MRS [...]

Personal information:     Eva Alfayate Sáez.  Radiographer Department Coordinator at the CIEN Neuroimaging Foundation  [Fig. 6]   Degree in Radiology. Cllege of Health Technology of Coimbra. Portugal TER: Hospital Universitario Clínico San Carlos.   https://es.linkedin.com/in/evaalfayatesaez[...]

References: [1] Alfayate E. et al.; Magn. Reson. Mater. Phy. (2012) 25: 1.   [2] Provencher S.W.; MRM 30:672-679; 1993.   [3] IBM Corp. Released 2014. IBM SPSS Statistics for Windows, Version 23.0. Armonk, NT: IBM Corp.  

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