Impact of time-of-flight on PET tumor detection.
Impact of time-of-flight on PET tumor detection.
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DOI：
10.2967/jnumed.109.063016
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发表时间：
2009-08
期刊：
影响因子：
--
通讯作者：
Townsend DW
中科院分区：
文献类型：
--
作者：
Kadrmas DJ;Casey ME;Conti M;Jakoby BW;Lois C;Townsend DW
飞行时间（TOF）PET使用非常快的探测器来改善事件沿沿着符合响应线的定位。然后利用该信息来改进断层扫描重建。这项工作评估了TOF对观察者在嘈杂的PET图像中检测和定位局灶性暖病变的性能的影响。在原型TOF PET/CT扫描仪（Siemens Medical Solutions）上，在3天内对高级拟人病变检测体模扫描12次。该体模被设计为模拟全身肿瘤学18F-FDG PET成像，许多球形病变（直径6-16 mm）分布在整个体模中。采用基线响应线有序子集期望最大化算法、基线算法加点扩散函数模型（PSF）、基线加TOF以及PSF+TOF重建数据。每个重建的病变检测性能进行了比较和排名使用本地化接收器工作特性（LROC）分析与人类和数字观察员。然后将体模结果与使用PSF和PSF+TOF重建的2个说明性患者扫描进行主观比较。与没有TOF数据的基线算法相比，包含TOF信息提供了LROC曲线下面积的显著改善（P = 0.002），提供了与PSF模型获得的改善程度相似的改善程度。PSF+TOF联合使用在病变检测性能方面提供了累积益处，显著优于单独使用PSF或TOF（P < 0.002）。示例患者图像反映了相同的图像特征，这些图像特征提高了体模数据的性能。飞行时间PET提供了一个显着的改善，观察者的性能检测局灶性温病变在嘈杂的背景。图像质量的这些改进有望提高检测病变和疾病分期的临床任务的性能。需要在大量临床人群中进行进一步研究，以评估TOF在不同患者规模和计数水平下的受益，并证明其在临床环境中的有效性能。
Time-of-flight (TOF) PET uses very fast detectors to improve localization of events along coincidence lines-of-response. This information is then utilized to improve the tomographic reconstruction. This work evaluates the effect of TOF upon an observer's performance for detecting and localizing focal warm lesions in noisy PET images. An advanced anthropomorphic lesion-detection phantom was scanned 12 times over 3 days on a prototype TOF PET/CT scanner (Siemens Medical Solutions). The phantom was devised to mimic whole-body oncologic 18F-FDG PET imaging, and a number of spheric lesions (diameters 6–16 mm) were distributed throughout the phantom. The data were reconstructed with the baseline line-of-response ordered-subsets expectation-maximization algorithm, with the baseline algorithm plus point spread function model (PSF), baseline plus TOF, and with both PSF+TOF. The lesion-detection performance of each reconstruction was compared and ranked using localization receiver operating characteristics (LROC) analysis with both human and numeric observers. The phantom results were then subjectively compared to 2 illustrative patient scans reconstructed with PSF and with PSF+TOF. Inclusion of TOF information provides a significant improvement in the area under the LROC curve compared to the baseline algorithm without TOF data (P = 0.002), providing a degree of improvement similar to that obtained with the PSF model. Use of both PSF+TOF together provided a cumulative benefit in lesion-detection performance, significantly outperforming either PSF or TOF alone (P < 0.002). Example patient images reflected the same image characteristics that gave rise to improved performance in the phantom data. Time-of-flight PET provides a significant improvement in observer performance for detecting focal warm lesions in a noisy background. These improvements in image quality can be expected to improve performance for the clinical tasks of detecting lesions and staging disease. Further study in a large clinical population is warranted to assess the benefit of TOF for various patient sizes and count levels, and to demonstrate effective performance in the clinical environment.
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影响因子：
10.6
作者：
Kadrmas DJ;Casey ME;Black NF;Hamill JJ;Panin VY;Conti M
通讯作者：
Conti M
影响因子：
10.6
作者：
Shepp, L A;Vardi, Y
通讯作者：
Vardi, Y
影响因子：
3.5
作者：
Kadrmas, DJ
通讯作者：
Kadrmas, DJ
影响因子：
3.8
作者：
Popescu, Lucretiu M.
通讯作者：
Popescu, Lucretiu M.
影响因子：
1.8
作者：
Gifford, H. C.;Kinahan, P. E.;King, M. A.
通讯作者：
King, M. A.