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Impact of improved attenuation correction featuring a bone atlas and truncation correction on PET quantification in whole-body PET/MR.
- Source :
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European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2018 Apr; Vol. 45 (4), pp. 642-653. Date of Electronic Publication: 2017 Nov 09. - Publication Year :
- 2018
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Abstract
- Purpose: Recent studies have shown an excellent correlation between PET/MR and PET/CT hybrid imaging in detecting lesions. However, a systematic underestimation of PET quantification in PET/MR has been observed. This is attributable to two methodological challenges of MR-based attenuation correction (AC): (1) lack of bone information, and (2) truncation of the MR-based AC maps (μmaps) along the patient arms. The aim of this study was to evaluate the impact of improved AC featuring a bone atlas and truncation correction on PET quantification in whole-body PET/MR.<br />Methods: The MR-based Dixon method provides four-compartment μmaps (background air, lungs, fat, soft tissue) which served as a reference for PET/MR AC in this study. A model-based bone atlas provided bone tissue as a fifth compartment, while the HUGE method provided truncation correction. The study population comprised 51 patients with oncological diseases, all of whom underwent a whole-body PET/MR examination. Each whole-body PET dataset was reconstructed four times using standard four-compartment μmaps, five-compartment μmaps, four-compartment μmaps + HUGE, and five-compartment μmaps + HUGE. The SUV <subscript>max</subscript> for each lesion was measured to assess the impact of each μmap on PET quantification.<br />Results: All four μmaps in each patient provided robust results for reconstruction of the AC PET data. Overall, SUV <subscript>max</subscript> was quantified in 99 tumours and lesions. Compared to the reference four-compartment μmap, the mean SUV <subscript>max</subscript> of all 99 lesions increased by 1.4 ± 2.5% when bone was added, by 2.1 ± 3.5% when HUGE was added, and by 4.4 ± 5.7% when bone + HUGE was added. Larger quantification bias of up to 35% was found for single lesions when bone and truncation correction were added to the μmaps, depending on their individual location in the body.<br />Conclusion: The novel AC method, featuring a bone model and truncation correction, improved PET quantification in whole-body PET/MR imaging. Short reconstruction times, straightforward reconstruction workflow, and robust AC quality justify further routine clinical application of this method.
Details
- Language :
- English
- ISSN :
- 1619-7089
- Volume :
- 45
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- European journal of nuclear medicine and molecular imaging
- Publication Type :
- Academic Journal
- Accession number :
- 29119237
- Full Text :
- https://doi.org/10.1007/s00259-017-3864-4