Feasibility of Computed Tomography-Guided Methods for Spatial Normalization of Dopamine Transporter Positron Emission Tomography Image

被引:31
作者
Kim, Jin Su [1 ]
Cho, Hanna [2 ]
Choi, Jae Yong [3 ]
Lee, Seung Ha [2 ]
Ryu, Young Hoon [3 ]
Lyoo, Chul Hyoung [2 ]
Lee, Myung Sik [2 ]
机构
[1] Korea Inst Radiol & Med Sci, Mol Imaging Res Ctr, Seoul, South Korea
[2] Yonsei Univ, Coll Med, Gangnam Severance Hosp, Dept Neurol, Seoul, South Korea
[3] Yonsei Univ, Coll Med, Gangnam Severance Hosp, Dept Nucl Med, Seoul, South Korea
关键词
PARKINSONS-DISEASE; QUANTITATIVE-ANALYSIS; HUMAN BRAIN; PET; TEMPLATE; SEGMENTATION; DYSFUNCTION;
D O I
10.1371/journal.pone.0132585
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background Spatial normalization is a prerequisite step for analyzing positron emission tomography (PET) images both by using volume-of-interest (VOI) template and voxel-based analysis. Magnetic resonance (MR) or ligand-specific PET templates are currently used for spatial normalization of PET images. We used computed tomography (CT) images acquired with PET/CT scanner for the spatial normalization for [F-18]-N-3-fluoropropyl-2-betacarboxymethoxy-3-beta-(4-iodophenyl) nortropane (FP-CIT) PET images and compared target-to-cerebellar standardized uptake value ratio (SUVR) values with those obtained from MR-or PET-guided spatial normalization method in healthy controls and patients with Parkinson's disease (PD). Methods We included 71 healthy controls and 56 patients with PD who underwent [F-18]-FP-CIT PET scans with a PET/CT scanner and T1-weighted MR scans. Spatial normalization of MR images was done with a conventional spatial normalization tool (cvMR) and with DARTEL toolbox (dtMR) in statistical parametric mapping software. The CT images were modified in two ways, skull-stripping (ssCT) and intensity transformation (itCT). We normalized PET images with cvMR-, dtMR-, ssCT-, itCT-, and PET-guided methods by using specific templates for each modality and measured striatal SUVR with a VOI template. The SUVR values measured with FreeSurfer-generated VOIs (FSVOI) overlaid on original PET images were also used as a gold standard for comparison. Results The SUVR values derived from all four structure-guided spatial normalization methods were highly correlated with those measured with FSVOI (P < 0.0001). Putaminal SUVR values were highly effective for discriminating PD patients from controls. However, the PET-guided method excessively overestimated striatal SUVR values in the PD patients by more than 30% in caudate and putamen, and thereby spoiled the linearity between the striatal SUVR values in all subjects and showed lower disease discrimination ability. Two CT-guided methods showed comparable capability with the MR-guided methods in separating PD patients from controls and showed better correlation between putaminal SUVR values and the parkinsonian motor severity than the PET-guided method. Conclusion CT-guided spatial normalization methods provided reliable striatal SUVR values comparable to those obtained with MR-guided methods. CT-guided methods can be useful for analyzing dopamine transporter PET images when MR images are unavailable.
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页数:18
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