MR-based PET attenuation correction using a combined ultrashort echo time/multi-echo Dixon acquisition

被引:7
作者
Han, Paul Kyu [1 ,2 ]
Horng, Debra E. [1 ,2 ]
Gong, Kuang [1 ,2 ]
Petibon, Yoann [1 ,2 ]
Kim, Kyungsang [1 ,2 ]
Li, Quanzheng [1 ,2 ]
Johnson, Keith A. [1 ,2 ,3 ,4 ]
El Fakhri, Georges [1 ,2 ]
Ouyang, Jinsong [1 ,2 ]
Ma, Chao [1 ,2 ]
机构
[1] Massachusetts Gen Hosp, Gordon Ctr Med Imaging, Dept Radiol, Boston, MA 02114 USA
[2] Harvard Med Sch, Dept Radiol, Boston, MA 02115 USA
[3] Massachusetts Gen Hosp, Dept Neurol, Boston, MA 02114 USA
[4] Brigham & Womens Hosp, Dept Neurol, Ctr Alzheimer Res & Treatment, 75 Francis St, Boston, MA 02115 USA
基金
美国国家卫生研究院;
关键词
continuous LAC; MR-based attenuation correction; MRAC; multi-echo Dixon; PET attenuation correction; PET/MR; ultrashort echo time (UTE); IMAGING-GUIDED ATTENUATION; WATER-FAT SEPARATION; WHOLE-BODY; PSEUDO-CT; SYNTHETIC CT; PET/MRI; SEGMENTATION; TIME; GENERATION; IMAGES;
D O I
10.1002/mp.14180
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose To develop a magnetic resonance (MR)-based method for estimation of continuous linear attenuation coefficients (LACs) in positron emission tomography (PET) using a physical compartmental model and ultrashort echo time (UTE)/multi-echo Dixon (mUTE) acquisitions. Methods We propose a three-dimensional (3D) mUTE sequence to acquire signals from water, fat, and short T-2 components (e.g., bones) simultaneously in a single acquisition. The proposed mUTE sequence integrates 3D UTE with multi-echo Dixon acquisitions and uses sparse radial trajectories to accelerate imaging speed. Errors in the radial k-space trajectories are measured using a special k-space trajectory mapping sequence and corrected for image reconstruction. A physical compartmental model is used to fit the measured multi-echo MR signals to obtain fractions of water, fat, and bone components for each voxel, which are then used to estimate the continuous LAC map for PET attenuation correction. Results The performance of the proposed method was evaluated via phantom and in vivo human studies, using LACs from computed tomography (CT) as reference. Compared to Dixon- and atlas-based MRAC methods, the proposed method yielded PET images with higher correlation and similarity in relation to the reference. The relative absolute errors of PET activity values reconstructed by the proposed method were below 5% in all of the four lobes (frontal, temporal, parietal, and occipital), cerebellum, whole white matter, and gray matter regions across all subjects (n = 6). Conclusions The proposed mUTE method can generate subject-specific, continuous LAC map for PET attenuation correction in PET/MR.
引用
收藏
页码:3064 / 3077
页数:14
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