Suppr超能文献

使用数值观测器和人类LROC研究评估(67)Ga单光子发射计算机断层扫描的散射补偿策略

Assessment of scatter compensation strategies for (67)Ga SPECT using numerical observers and human LROC studies.

作者信息

Farncombe Troy H, Gifford Howard C, Narayanan Manoj V, Pretorius P Hendrik, Frey Eric C, King Michael A

机构信息

Department of Nuclear Medicine, Hamilton Health Sciences Center, Hamilton, Ontario, Canada.

出版信息

J Nucl Med. 2004 May;45(5):802-12.

Abstract

UNLABELLED

67Ga citrate is an oncologic SPECT imaging agent often used to diagnose or stage patients with non-Hodgkin's lymphoma. As (67)Ga decay involves the emission of multiple-energy gamma-rays, significant photon downscatter will be present within each photopeak energy window. We have previously shown that the inclusion of these scattered photons significantly degrades lesion detectability. The goal of this study was to investigate the extent to which this decrease in detectability can be reversed by applying scatter compensation strategies.

METHODS

We have compared 5 different scatter compensation methods to the case of no scatter compensation in iterative SPECT image reconstruction. The strategies consisted of (a). perfect scatter rejection, (b). ideal scatter compensation, (c). triple-energy window (TEW) scatter estimation, (d). effective scatter source estimation (ESSE), and (e). postreconstruction scatter subtraction. Reconstruction parameters used for each method were first optimized using a channelized Hotelling numerical observer. Strategies were then ranked in terms of lesion detectability using a human observer localization receiver operating characteristic (LROC) study. An additional comparison was made comparing the human LROC rankings with a recently developed channelized nonprewhitening (CNPW) LROC numerical observer.

RESULTS

Using the area-under-the-LROC-curve (A(LROC)) as the assessment criterion, our results indicate that the TEW and ESSE scatter compensation methods are able to significantly improve lesion detectability over no compensation (A(LROC) = 0.75 and 0.73 vs. 0.67, respectively). However, these compensations failed to achieve the same detectability as perfect scatter rejection (A(LROC) = 0.84). Both ideal scatter compensation and postreconstruction scatter subtraction resulted in numerical increases in detection accuracy that were not statistically significant from no scatter compensation. Good agreement is seen between the CNPW observer and human LROC studies (Spearman rank order coefficient, r(s) = 0.74), thus indicating that the LROC observer may be a good predictor of human observer performance in (67)Ga SPECT.

CONCLUSION

Scatter compensation in (67)Ga SPECT imaging using techniques such as TEW or ESSE is able to improve lesion detectability compared with no scatter compensation. A recently developed numerical observer model appears to be a good predictor of human observer performance and may be used to perform imaging optimizations, thereby reducing the need for human LROC studies.

摘要

未标注

67镓柠檬酸盐是一种肿瘤学单光子发射计算机断层显像(SPECT)成像剂,常用于非霍奇金淋巴瘤患者的诊断或分期。由于67镓衰变涉及多能量γ射线的发射,在每个光电峰能量窗口内会出现显著的光子向下散射。我们之前已经表明,包含这些散射光子会显著降低病变的可探测性。本研究的目的是调查通过应用散射补偿策略,这种可探测性的降低能在多大程度上得到逆转。

方法

我们在迭代SPECT图像重建中,将5种不同的散射补偿方法与无散射补偿的情况进行了比较。这些策略包括:(a)完全散射剔除;(b)理想散射补偿;(c)三能量窗(TEW)散射估计;(d)有效散射源估计(ESSE);(e)重建后散射减法。每种方法使用的重建参数首先通过通道化霍特林数值观察者进行优化。然后使用人类观察者定位接收器操作特性(LROC)研究,根据病变可探测性对这些策略进行排名。还进行了一项额外的比较,将人类LROC排名与最近开发的通道化非白化(CNPW)LROC数值观察者进行比较。

结果

以LROC曲线下面积(A(LROC))作为评估标准,我们的结果表明,与无补偿相比,TEW和ESSE散射补偿方法能够显著提高病变的可探测性(A(LROC)分别为0.75和0.73,而无补偿时为0.67)。然而,这些补偿未能达到与完全散射剔除相同的可探测性(A(LROC) = 0.84)。理想散射补偿和重建后散射减法在检测准确性上的数值增加与无散射补偿相比无统计学意义。CNPW观察者和人类LROC研究之间有很好的一致性(斯皮尔曼等级相关系数,r(s) = 0.74),因此表明LROC观察者可能是67镓SPECT中人类观察者表现的良好预测指标。

结论

与无散射补偿相比,在67镓SPECT成像中使用TEW或ESSE等技术进行散射补偿能够提高病变的可探测性。最近开发的数值观察者模型似乎是人类观察者表现的良好预测指标,可用于进行成像优化,从而减少对人类LROC研究的需求。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验