Evaluation of a Dedicated Radiofrequency Carotid PET/MRI Coil.
Mueez AizazJochem A J van der PolRoel WiertsHans ZwartAbe J van der WerfJoachim E WildbergerJan A BuceriusRik P M MoonenMarianne Eline KooiPublished in: Journal of clinical medicine (2022)
Carotid radiofrequency coils inside a PET/MRI system can result in PET quantification errors. We compared the performance of a dedicated PET/MRI carotid coil against a coil for MRI-only use. An 18 F-fluorodeoxyglucose ( 18 F-FDG) phantom was scanned without and with an MRI-only coil and with the PET/MRI coil. The decay-corrected normalized activity was compared for the different coil configurations. Eighteen patients were scanned with the three coil configurations. The maximal standardized uptake values (SUV max ) and signal-to-noise ratios (SNR) were calculated. Repeated measures ANOVA was performed to assess the differences in SUV max and SNR between the coil configurations. In the phantom study, the PET/MRI coil demonstrated a slight decrease (<5%), while the MRI-only coil showed a substantial decrease (up to 10%) in normalized activity at the position of coil elements compared to no dedicated coil configuration. In the patient study, the SUV max values for both no surface coil (3.59 ± 0.15) and PET/MRI coil (3.54 ± 0.15) were significantly higher ( p = 0.03 and p = 0.04, respectively) as compared to the MRI-only coil (3.28 ± 0.16). No significant difference was observed between PET/MRI and no surface coil ( p = 1.0). The SNR values for both PET/MRI (7.31 ± 0.44) and MRI-only (7.62 ± 0.42) configurations demonstrated significantly higher ( p < 0.001) SNR values as compared to the no surface coil (3.78 ± 0.22), while no significant difference was observed in SNR between the PET/MRI and MRI-only coil ( p = 1.0). This study demonstrated that the PET/MRI coil can be used for PET imaging without requiring attenuation correction while acquiring high-resolution MR images.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- computed tomography
- pet imaging
- positron emission tomography
- pet ct
- diffusion weighted imaging
- high resolution
- emergency department
- deep learning
- machine learning
- newly diagnosed
- blood pressure
- case report
- convolutional neural network
- image quality
- electronic health record
- catheter ablation
- patient reported