QIN PET Phantom

<p>This collection consists of positron emission tomography (PET) phantom scans originally utilized by the Quantitative Imaging Network (QIN) PET Segmentation Challenge to assess the variability of segmentations and subsequently derived quantitative analysis results on phantom PET scans with known ground truth.The phantom was provided by Dr. Sunderland at the University of Iowa (supported by grant R01CA169072 - Harmonized PET Reconstructions for Cancer Clinical Trials) and is based on the NEMA IEC Body Phantom Set<sup>TM </sup>(Model PET/IEC-BODY/P) with a set of 6 custom made (via rapid prototyping) spheres & ellipses (Fig. 1). The phantom was scanned at two QIN sites (University of Iowa and University of Washington) with different scanners, following a protocol that yields four image sets (Fig. 2) per site. The DICOM PET images are organized as shown in Fig. 3.  These figures are located in the Detailed Description tab below.</p><h4>About the NCI QIN</h4><p>The mission of the QIN is to improve the role of quantitative imaging for clinical decision making in oncology by developing and validating data acquisition, analysis methods, and tools to tailor treatment for individual patients and predict or monitor the response to drug or radiation therapy. More information is available on the <a href="/display/Public/Quantitative+Imaging+Network+Collections">Quantitative Imaging Network Collections</a> page. Interested investigators can apply to the QIN at: <a href="http://imaging.cancer.gov/programsandresources/SpecializedInitiatives/qin">Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01) PAR-11-150</a>.</p>

本数据集汇集了正电子发射断层扫描（PET）幻影扫描图像，这些图像最初由定量成像网络（QIN）PET分割挑战赛使用，旨在评估分割的变异性以及随后在已知真实情况的幻影PET扫描上的定量分析结果。该幻影由爱荷华大学的Sunderland博士提供（由R01CA169072号研究资助——癌症临床试验的统一PET重建），其基于NEMA IEC人体幻影集（型号PET/IEC-BODY/P）并附加一套由快速原型技术定制的6个球体和椭球体（见图1）。幻影在两个QIN站点（爱荷华大学和华盛顿大学）使用不同的扫描仪进行扫描，遵循每站点产生四组图像的协议（见图2）。DICOM PET图像的组织方式如图3所示。这些图表位于下方的详细描述标签页中。

关于NCI QIN：
QIN的使命是通过开发与验证数据采集、分析方法和工具，以改进定量成像在肿瘤学临床决策中的作用，从而为个体患者量身定制治疗方案并预测或监测药物或放射治疗反应。更多信息可在
<a href="/display/Public/Quantitative+Imaging+Network+Collections">定量成像网络数据集</a>
页面找到。感兴趣的研究人员可以通过
<a href="http://imaging.cancer.gov/programsandresources/SpecializedInitiatives/qin">定量成像评估癌症治疗反应（U01）PAR-11-150</a>
申请加入QIN。