Rapid dual-echo ramped hybrid encoding MR-based attenuation correction (dRHE-MRAC) for PET/MR.
Rapid dual-echo ramped hybrid encoding MR-based attenuation correction (dRHE-MRAC) for PET/MR.
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DOI:
10.1002/mrm.26953
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发表时间:
2018-06
影响因子:
3.3
通讯作者:
McMillan AB
中科院分区:
文献类型:
--
作者:
Jang H;Liu F;Bradshaw T;McMillan AB
In this study, we propose a rapid acquisition for MR-based attenuation correction (MRAC) in PET/MR imaging, where an ultrashort echo time (UTE) image and an out-of-phase echo image are obtained within a single rapid scan (35sec) at high spatial resolution (1mm3), which allows accurate estimation of a pseudo CT image utilizing 4 class tissue classification (discrete bone, discrete air, and continuous fat and water). In dual echo ramped hybrid encoding (dRHE), a UTE echo is directly followed by a second, out-of-phase echo where hybrid spatial encoding combining single-point imaging and 3D radial frequency encoding is utilized to improve the quality of both images. Two-point Dixon reconstruction is used to estimate fat and water separated images, and UTE images are used to estimate bone. Air and bone segmentation is improved by utilizing multiple UTE images with an advanced hybrid encoding scheme that allows reconstruction of multiple UTE images. To evaluate the proposed method, dRHE-MRAC, PET/MR brain imaging was performed in 10 subjects. Dice coefficients and PET reconstruction errors relative to CT-based attenuation correction were compared to existing system MRAC approaches. In dRHE-MRAC, the Dice coefficients for soft tissue, air, and bone were respectively 0.95±0.01, 0.62±0.06, and 0.78±0.05, which was a significantly improved result compared to existing approaches. In most brain regions, dRHE-MRAC showed significantly reduced PET error (less than 1%) with p-values less than 0.05. dRHE enables rapid and robust imaging for MRAC with a very rapid acquisition.
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影响因子:
3.3
作者:
Feng, Li;Grimm, Robert;Block, Kai Tobias;Chandarana, Hersh;Kim, Sungheon;Xu, Jian;Axel, Leon;Sodickson, Daniel K.;Otazo, Ricardo
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影响因子:
9.3
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