Evaluation of Sinus/Edge-Corrected Zero-Echo-Time-Based Attenuation Correction in Brain PET/MRI

被引:41
作者
Yang, Jaewon [1 ]
Wiesinger, Florian [2 ]
Kaushik, Sandeep [3 ]
Shanbhag, Dattesh [3 ]
Hope, Thomas A. [1 ]
Larson, Peder E. Z. [1 ]
Seo, Youngho [1 ]
机构
[1] Univ Calif San Francisco, Dept Radiol & Biomed Imaging, 185 Berry St,Suite 350, San Francisco, CA 94107 USA
[2] GE Global Res, Munich, Germany
[3] GE Global Res, Bangalore, Karnataka, India
关键词
neurology; PET; PET/MRI; ZTE; attenuation correction; brain; F-18-FDG PET/MRI; BONE; PET; MRI; MODEL; IMAGE; BIAS;
D O I
10.2967/jnumed.116.188268
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
In brain PET/MRI, the major challenge of zero-echo-time (ZTE)-based attenuation correction (ZTAC) is the misclassification of air/tissue/bone mixtures or their boundaries. Our study aimed to evaluate a sinus/edge-corrected (SEC) ZTAC (ZTAC(SEC)), relative to an uncorrected (UC) ZTAC (ZTAC(UC)) and a CT atlas-based attenuation correction (ATAC). Methods: Whole-body F-18-FDG PET/MRI scans were obtained for 12 patients after PET/CT scans. Only data acquired at a bed station that included the head were used for this study. Using PET data from PET/MRI, we applied ZTAC(UC), ZTAC(SEC), ATAC, and reference CT-based attenuation correction (CTAC) to PET attenuation correction. For ZTAC(UC), the bias-corrected and normalized ZTE was converted to pseudo-CT with air (-1,000 HU for ZTE < 0.2), soft-tissue (42 HU for ZTE > 0.75), and bone (-2,000 x [ZTE - 1] + 42 HU for 0.2 <= ZTE <= 0.75). Afterward, in the pseudo-CT, sinus/edges were automatically estimated as a binary mask through morphologic processing and edge detection. In the binary mask, the overestimated values were rescaled below 42 HU for ZTAC(SEC). For ATAC, the atlas deformed to MR in-phase was segmented to air, inner air, soft tissue, and continuous bone. For the quantitative evaluation, PET mean uptake values were measured in twenty 1-mL volumes of interest distributed throughout brain tissues. The PET uptake was compared using a paired t test. An error histogram was used to show the distribution of voxel-based PET uptake differences. Results: Compared with CTAC, ZTAC(SEC) achieved the overall PET quantification accuracy (0.2% +/- 2.4%, P = 0.23) similar to CTAC, in comparison with ZTAC(UC) (5.6% +/- 3.5%, P < 0.01) and ATAC (-0.9% +/- 5.0%, P = 0.03). Specifically, a substantial improvement with ZTAC(SEC) (0.6% +/- 2.7%, P < 0.01) was found in the cerebellum, in comparison with ZTAC(UC) (8.1% +/- 3.5%, P < 0.01) and ATAC (-4.1% +/- 4.3%, P < 0.01). The histogram of voxel-based uptake differences demonstrated that ZTAC(SEC) reduced the magnitude and variation of errors substantially, compared with ZTAC(UC) and ATAC. Conclusion: ZTAC(SEC) can provide an accurate PET quantification in brain PET/MRI, comparable to the accuracy achieved by CTAC, particularly in the cerebellum.
引用
收藏
页码:1873 / 1879
页数:7
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