Evaluating two respiratory correction methods for abdominal PET/MRI imaging.
Evaluating two respiratory correction methods for abdominal PET/MRI imaging.
复制标题
评估腹部 PET/MRI 成像的两种呼吸校正方法
DOI:
10.1186/s40658-022-00430-w
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发表时间:
2022-01-31
期刊:
影响因子:
4
通讯作者:
Lan X
中科院分区:
文献类型:
--
作者:
Ruan W;Liu F;Sun X;Hu F;Wu T;Zhang Y;Lan X
To evaluate two respiratory correction methods for abdominal PET/MRI images and further to analyse the effects on standard uptake values (SUVs) of respiratory motion correction, 17 patients with 25 abdominal lesions on 18F-FDG PET/CT were scanned with PET/MRI. PET images were reconstructed using end-expiratory respiratory gating and multi-bin respiratory gating. Meanwhile, full data and the first 3 min and 20 s of data acquired both without respiratory gating were reconstructed for evaluation. Five parameters, including the SUVmax and SUVmean in the lesions, the SUVmean and standard deviation (SD) in the background, and the signal-to-noise ratio (SNR), were calculated and used for statistical comparisons. The differences in multi-bin respiratory gating and reconstruction of full data, relative to the reconstruction of the first 3 min and 20 s of data acquired, were calculated. Compared with PET/CT, the longer scanning time of abdominal PET/MRI makes respiratory motion correction necessary. The multi-bin respiratory gating correction could reduce the PET image blur and increase the SUVmax (11.98%) and SUVmean (13.12%) of the lesions significantly (p = 0.00), which was much more effective than end-expiratory respiratory gating for abdominal PET/MRI. The added value of SUVmax caused by respiratory motion correction has no significant difference compared with that caused by count loss with the correction (p = 0.39), which was rarely reported by previous studies. Based on the current parameters, the method of multi-bin respiratory gating was more effective for respiratory motion correction in abdominal PET/MRI in comparisons with the method of end-respiratory gating. However, the increased noise in gated images, due to the fact that PET data get discarded, is partly responsible for the increase in SUVmax.
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影响因子:
3.8
作者:
Dawood, Mohammad;Buether, Florian;Schaefers, Klaus P.
通讯作者:
Schaefers, Klaus P.
影响因子:
5.9
作者:
Grootjans, Willem;de Geus-Oei, Lioe-Fee;Visser, Eric P.
通讯作者:
Visser, Eric P.
DOI:
10.1002/anie.201805501
发表时间:
2019-02-25
期刊:
Angewandte Chemie (International ed. in English)
影响因子:
--
作者:
Deng X;Rong J;Wang L;Vasdev N;Zhang L;Josephson L;Liang SH
通讯作者:
Liang SH
影响因子:
9.3
作者:
Soret, Marine;Bacharach, Stephen L.;Buvat, Irene
通讯作者:
Buvat, Irene
影响因子:
1.3
作者:
van der Vos, Charlotte S.;Grootjans, Willem;Visser, Eric P.
通讯作者:
Visser, Eric P.