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Whole-body PET/MRI of Pediatric Patients: The Details That Matter
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Improved clinical workflow for simultaneous whole-body PET/MRI using high-resolution CAIPIRINHA-accelerated MR-based
Martin T Freitag1, Matthias Fenchel2, Philipp Bäumer1
1Department of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
European Journal of Radiology
|November 7, 2017
Summary
A new magnetic resonance-based attenuation correction (MRAC) method using CAIPIRINHA acceleration significantly improves whole-body PET/MRI scans. This novel approach offers high-resolution imaging for better diagnostic assessment and faster scan times.
Area of Science:
- Medical Imaging
- Radiology
- Nuclear Medicine
Background:
- Whole-body PET/MRI combines anatomical and functional imaging.
- Accurate attenuation correction (AC) is crucial for quantitative PET imaging.
- Current AC methods may have limitations in speed and resolution.
Purpose of the Study:
- To evaluate a novel CAIPIRINHA-accelerated T1-weighted Dixon 3D-VIBE sequence for magnetic resonance-based attenuation correction (MRAC).
- To compare the value and reproducibility of this novel MRAC (MRACcaipi) against the standard MRAC (MRACstd) in whole-body PET/MRI.
Main Methods:
- PET/MRI data from 19 patients were reconstructed using both standard and novel MRAC techniques.
- Standardized uptake values (SUVmean) were calculated for various regions of interest (ROIs) and compared.
- Voxel-wise SUV analysis and Bland-Altman plots assessed inter-method agreement.
- Image quality and segmentation accuracy were evaluated by expert readers.
Main Results:
- High linearity and correlation were observed between SUVmean values from both MRAC methods.
- Outliers were attributed to physiological variations and motion artifacts between scans.
- The novel MRACcaipi demonstrated improved segmentation of air-containing tissues like sinuses and trachea.
- High diagnostic image quality was achieved with MRACcaipi, showing excellent inter-reader agreement.
Conclusions:
- The novel prototype MRACcaipi provides a high-resolution, DIXON-based dataset suitable for diagnostic assessment in whole-body PET/MRI.
- This technique enhances the value of attenuation correction, contributing to time-efficient whole-body PET/MRI procedures.

