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使用F-NaF PET/CT和PET/MRI对主动脉瓣进行运动校正成像:一项可行性研究。

Motion-Corrected Imaging of the Aortic Valve with F-NaF PET/CT and PET/MRI: A Feasibility Study.

作者信息

Doris Mhairi K, Rubeaux Mathieu, Pawade Tania, Otaki Yuka, Xie Yibin, Li Debiao, Tamarappoo Balaji K, Newby David E, Berman Daniel S, Dweck Marc R, Slomka Piotr J, Dey Damini

机构信息

Departments of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, California.

Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; and.

出版信息

J Nucl Med. 2017 Nov;58(11):1811-1814. doi: 10.2967/jnumed.117.194597. Epub 2017 May 25.

Abstract

We investigated whether motion correction of gated F-fluoride PET/CT and PET/MRI of the aortic valve could improve PET quantitation and image quality. A diffeomorphic, mass-preserving, anatomy-guided registration algorithm was used to align the PET images from 4 cardiac gates, preserving all counts, and apply them to the PET/MRI and PET/CT data of 6 patients with aortic stenosis. Measured signal-to-noise ratios (SNRs) and target-to-background ratios (TBRs) were compared with the standard method of using only the diastolic gate. High-intensity aortic valve F-fluoride uptake was observed in all patients. After motion correction, SNR and TBR increased compared with the median diastolic gate (SNR, 51.61 vs. 21.0; TBR, 2.85 vs. 2.22) and the median summed data (SNR, 51.61 vs. 34.10; TBR, 2.85 vs. 1.95) ( = 0.028 for all). Furthermore, noise decreased from 0.105 (median, diastolic) to 0.042 (median, motion-corrected) ( = 0.028). Motion correction of hybrid F-fluoride PET markedly improves SNR, resulting in improved image quality.

摘要

我们研究了门控F-氟化物PET/CT和PET/MRI对主动脉瓣的运动校正是否能改善PET定量分析和图像质量。使用了一种微分同胚、质量守恒、解剖学引导的配准算法来对齐来自4个心脏门控的PET图像,保留所有计数,并将其应用于6例主动脉瓣狭窄患者的PET/MRI和PET/CT数据。将测量的信噪比(SNR)和靶本比(TBR)与仅使用舒张期门控的标准方法进行比较。所有患者均观察到高强度的主动脉瓣F-氟化物摄取。运动校正后,与舒张期门控中位数相比(SNR:51.61对21.0;TBR:2.85对2.22)以及与总数据中位数相比(SNR:51.61对34.10;TBR:2.85对1.95),SNR和TBR均增加(所有比较P = 0.028)。此外,噪声从0.105(中位数,舒张期)降至0.042(中位数,运动校正后)(P = 0.028)。混合F-氟化物PET的运动校正显著提高了SNR,从而改善了图像质量。

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