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用于 PET 图像引导放射治疗中靶区勾画的新准确度指标的对比研究。

Comparative study with new accuracy metrics for target volume contouring in PET image guided radiation therapy.

出版信息

IEEE Trans Med Imaging. 2012 Nov;31(11):2006-24. doi: 10.1109/TMI.2012.2202322. Epub 2012 Jun 4.

Abstract

The impact of PET on radiation therapy is held back by poor methods of defining functional volumes of interest. Many new software tools are being proposed for contouring target volumes but the different approaches are not adequately compared and their accuracy is poorly evaluated due to the illdefinition of ground truth. This paper compares the largest cohort to date of established, emerging and proposed PET contouring methods, in terms of accuracy and variability. We emphasise spatial accuracy and present a new metric that addresses the lack of unique ground truth. 30 methods are used at 13 different institutions to contour functional VOIs in clinical PET/CT and a custom-built PET phantom representing typical problems in image guided radiotherapy. Contouring methods are grouped according to algorithmic type, level of interactivity and how they exploit structural information in hybrid images. Experiments reveal benefits of high levels of user interaction, as well as simultaneous visualisation of CT images and PET gradients to guide interactive procedures. Method-wise evaluation identifies the danger of over-automation and the value of prior knowledge built into an algorithm.

摘要

正电子发射断层扫描(PET)对放射治疗的影响受到功能感兴趣区定义方法不完善的限制。目前有许多新的软件工具被提出用于勾画靶区,但由于缺乏明确的“金标准”,不同的方法无法得到充分的比较,其准确性也无法得到很好的评估。本文比较了迄今为止最大的一组已建立、新兴和提出的 PET 勾画方法,从准确性和可变性两个方面进行了比较。我们强调空间准确性,并提出了一种新的度量标准来解决缺乏唯一“金标准”的问题。使用 30 种方法在 13 个不同的机构中对临床 PET/CT 中的功能 VOI 进行了勾画,并使用一个代表图像引导放射治疗中典型问题的定制 PET 体模进行了勾画。根据算法类型、交互级别以及它们如何利用混合图像中的结构信息,对勾画方法进行了分组。实验结果表明,高水平的用户交互以及同时可视化 CT 图像和 PET 梯度以指导交互式过程是有益的。从方法上评估可以发现过度自动化的危险,以及算法中内置的先验知识的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92f/5570440/3fe7d4c252dd/nihms890276f1.jpg

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