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Improved PET/MRI attenuation correction in the pelvic region using a statistical decomposition method on T2-weighted
Elin Wallstén1, Jan Axelsson2, Joakim Jonsson2
1Department of Radiation Sciences, Radiation Physics, Umeå University, 901 85, Umeå, Sweden. elin.wallsten@umu.se.
Background:
Attenuation correction of PET/MRI is a remaining problem for whole-body PET/MRI. The statistical decomposition algorithm (SDA) is a probabilistic atlas-based method that calculates synthetic CTs from T2-weighted MRI scans. In this study, we evaluated the application of SDA for attenuation correction of PET images in the pelvic region.
Materials And Method:
Twelve patients were retrospectively selected from an ongoing prostate cancer research study. The patients had same-day scans of [11C]acetate PET/MRI and CT. The CT images were non-rigidly registered to the PET/MRI geometry, and PET images were reconstructed with attenuation correction employing CT, SDA-generated CT, and the built-in Dixon sequence-based method of the scanner. The PET images reconstructed using CT-based attenuation correction were used as ground truth.
Results:
The mean whole-image PET uptake error was reduced from - 5.4% for Dixon-PET to - 0.9% for SDA-PET. The prostate standardized uptake value (SUV) quantification error was significantly reduced from - 5.6% for Dixon-PET to - 2.3% for SDA-PET.
Conclusion:
Attenuation correction with SDA improves quantification of PET/MR images in the pelvic region compared to the Dixon-based method.
