May 17 – 20, 2015
La Biodola, Isola d'Elba
Europe/Rome timezone

The Potential of TOF PET-MRI for Reducing Artifacts in PET Images

May 19, 2015, 4:00 PM
1h 30m
Room Elena

Room Elena

Poster 7 - Clinical MR-PET Session 8 - Poster Session I


Andrei Iagaru (Stanford University)


Aim: Here we evaluated the potential of TOF PET/MRI to reduce various PET image artifacts, by comparing the images to non-TOF PET/MRI, TOF PET/CT and non-TOF PET/CT. Methods and materials: All patients underwent a single-injection of FDG, followed first by PET-CT and subsequently by PET-MRI scan. The PET/CT exams were performed using a GE Discovery 690 PET/CT scanner The PET/MRI images were acquired on a GE Signa PET/MRI scanner. All PET images were reconstructed with and without the TOF data. Visual analysis of these series was performed for dental metal / breathing artifcats and 3) artifacts caused by high excretion of FDG in the bladder. PET image quality was evaluated using a 3-point scale (1 - clinically significant artifact; 2 – non clinically-significant artifact; and 3 - no artifact). Results: Data from 18 oncologic patients (mean ± SD age: 55 ± 10 years; female 7, male 11) were used. The average scores of TOF PET/MRI, non-TOF PET/MRI, TOF PET/CT and non-TOF PET/CT for dental artifacts were 3.0, 2.8, 2.4 and 2.3, respectively; for breathing artifacts were 3.0, 2.5, 2.5 and 2.3, respectively; and for pelvic artifacts were 2.9, 1.6, 2.1 and 1.4, respectively. TOF PET/MRI had the highest image quality scores among the 4 series of PET data analyzed for these types of artifacts. Conclusion: TOF PET/MRI showed promising results in reduction of various PET artifacts in this cohort, when compared to non-TOF PET/MRI, TOF PET/CT and non-TOF PET/CT. This may be due to the better timing resolution (<400 ps) for the PET/MR system compared to the PET/CT system (>600 ps).

Primary author

Andrei Iagaru (Stanford University)


Amir Barkhodari (Stanford University) Craig Levin (Stanford University) Dawn Holley (Stanford University) Mehran Jamali (Stanford University) Ryogo Minamimoto (Stanford University) Zaharchuk Greg (Stanford University)

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