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增强定义 PET 用于心脏成像。

Enhanced definition PET for cardiac imaging.

机构信息

Departments of Imaging and Medicine, Cedars-Sinai Medical Center, Taper Bldg, #A238, 8700 Beverly Blvd, Los Angeles, CA 90048, USA.

出版信息

J Nucl Cardiol. 2010 Jun;17(3):414-26. doi: 10.1007/s12350-010-9193-7. Epub 2010 Feb 12.

Abstract

BACKGROUND

We aimed to determine in phantom and cardiac clinical studies the impact of a new high-resolution PET image reconstruction.

METHODS

A phantom with cardiac insert filled with (18)F, 14 (18)F-FDG viability studies and 15 (82)Rb perfusion studies were acquired on a Siemens Biograph-64 (4-ring). The data were reconstructed with 2D- and 3D-attenuation weighted ordered subsets expectation maximization (AWOSEM), and high-definition reconstruction (HD.PET). We calculated wall/cavity contrast, contrast-to-noise ratio (CNR), wall thickness, motion/thickening and ejection fraction.

RESULTS

In the phantom study, we found an increase in defect size (up to 26%), contrast (up to 48%) and CNR (1.9) with HD.PET as compared to standard techniques. The contrast increased on HD.PET images compared to 2D- and 3D-AWOSEM for viability (14.0% +/- 4.8%) and perfusion studies (7.3% +/- 4.3%) (P < .05). Average CNR increased with HD.PET by 79.4% +/- 17.1% and 68.8% +/- 3.0% in viability and perfusion studies respectively (all P < .05). Average wall thickness with HD.PET decreased in the phantom study by 1.3 +/- 0.3 mm and the viability studies by 1.9 +/- 0.7 mm but not in the perfusion studies. The functional measurements were not significantly different for any techniques.

CONCLUSIONS

We demonstrated both in phantom and patient cardiac studies that HD.PET improves image contrast, defect definition, and CNR.

摘要

背景

我们旨在确定在体模和心脏临床研究中,新的高分辨率 PET 图像重建的影响。

方法

使用西门子 Biograph-64(4 环)在心脏插入物中充满(18)F、14(18)F-FDG 存活研究和 15(82)Rb 灌注研究的心脏体模中采集数据。使用二维和三维衰减加权有序子集期望最大化(AWOSEM)和高清重建(HD.PET)进行数据重建。我们计算壁/腔对比度、对比度噪声比(CNR)、壁厚度、运动/增厚和射血分数。

结果

在体模研究中,与标准技术相比,我们发现 HD.PET 可使缺陷大小(高达 26%)、对比度(高达 48%)和 CNR(1.9)增加。与 2D-AWOSEM 和 3D-AWOSEM 相比,HD.PET 上的对比度增加了活力(14.0% +/- 4.8%)和灌注研究(7.3% +/- 4.3%)(P <.05)。在活力和灌注研究中,HD.PET 可使平均 CNR 分别增加 79.4% +/- 17.1%和 68.8% +/- 3.0%(均 P <.05)。HD.PET 可使体模研究中的平均壁厚度减少 1.3 +/- 0.3 毫米,活力研究中减少 1.9 +/- 0.7 毫米,但在灌注研究中没有减少。任何技术的功能测量均无显著差异。

结论

我们在体模和患者心脏研究中均证明,HD.PET 可提高图像对比度、缺陷定义和 CNR。

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